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In Staff Data Scientist IWhat you’ll do:<ul><li>Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>Feature engineering, configuring forecasting models</li><li>Fine tune forecasting model</li><li>Present results in a clear manner</li><li>Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement. What we are looking for:</li><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li><li>Personal competencies o Ability to work independently and as part of a team in a consulting environment. o Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Senior Level

Blue Yonder Pvt Ltd

Data Scientist

Data Analyst II, Go To Market StrategyWorking with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: <a href="https://careers.bms.com/working-with-us" rel="noopener noreferrer" target="_blank">careers.bms.com/working-with-us</a>.The Data Analyst II – Go-to-Market (GTM) Strategy will play a strategic role within the Field Strategy &amp; Analytics team, supporting the development and optimization of end-to-end GTM initiatives for commercialization field facing teams. The position is responsible for delivering actionable insights on customer targeting, market segmentation, sizing, and territory structuring to enable effective field execution and market expansion. The ideal candidate will have deep experience in commercial analytics, strategic GTM planning, and proven expertise in handling pharmaceutical datasets and advanced analytics platforms. Strong communication skills and stakeholder management capabilities are essential.​Roles &amp; Responsibilities:<ul><li>Design, develop, and execute Field force sizing, GTM analytical frameworks for Pharma brands, including customer targeting, segmentation, opportunity sizing, and territory structuring.</li><li>Advance segmentation and targeting models using real-world data and machine learning techniques to identify high-value customers and growth opportunities.</li><li>Collaborate cross-functionally with Commercialization (including medical), Commercial &amp; Medical Analytics, Data Strategy and IT teams to align on GTM deliverables and implementation roadmaps.</li><li>Prepare, visualize, and present GTM recommendations and dashboards for senior leadership and field teams, translating analytics into actionable plans.</li><li>Innovate and automate GTM processes, deploying digital analytics and AI/ML tools to improve recommendations and reduce time to insights.</li><li>Manage ongoing stakeholder communications, promoting knowledge sharing, feedback integration, and best practices in GTM analytics.</li><li>Continuously evaluate industry trends and benchmarks, recommending new approaches to GTM strategy and field effectiveness.</li></ul>​Skills and competencies:<ul><li>Strong expertise in commercial analytics, GTM strategy, targeting, segmentation, and market sizing for Pharma or Life Sciences.</li><li>Advanced proficiency in Excel (including VBA), PowerBI, Tableau, Python, SQL, and other data management and visualization platforms.</li><li>Experience working with patient and claims data, specifically IQVIA and SHS datasets. Proficiency with CRM tools (e.g., Veeva) and territory alignment platforms.</li><li>Excellent data storytelling, presentation, and stakeholder management skills.</li><li>Strong business acumen and ability to translate analytical findings into strategic, actionable recommendations.</li><li>Experience in digital analytics, process automation, AI/ML, and decision science methodologies.</li><li>Independent problem-solving and project management skills, with a solution-oriented mindset.</li></ul>Experience:<ul><li>We welcome people with Bachelor’s or master’s degree in Statistics, Mathematics, Operations Research, Business Analytics, or a related discipline.</li><li>3 to 5 years of hands-on experience in GTM analytics, customer targeting, segmentation, sizing, and territory structuring, preferably within the pharmaceutical industry.</li><li>Hands-on proficiency with analyzing IQVIA sales, call activity, and Rx datasets, as well as extracting actionable insights from complex data using machine learning techniques.</li><li>Proven track record of presenting data-driven GTM strategies and recommendations to senior stakeholders.</li><li>Experience with data manipulation and visualization tools such as Advanced Excel (including VBA), Power BI, Tableau, Python, and SQL.</li><li>Exposure to digital analytics, process automation, AI/ML methodologies, and decision science frameworks.</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" rel="noopener noreferrer" target="_blank">adastaffingsupport@bms.com</a>. Visit <a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">careers.bms.com/</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">eeo</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">-accessibility</a> to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: <a href="https://careers.bms.com/california-residents/" rel="noopener noreferrer" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Bristol-Myers Squibb India Pvt Ltd

Data Analyst

Catastrophe Data Analyst About the Team: Insurance Market Analysis is part of Swiss Re Institute and responsible for analysing and forecasting the global macroeconomic and insurance market environment. Swiss Re Institute is responsible for Swiss Re's flagship sigma publication series and holds a crucial role in steering Swiss Re's capital allocation for both sides of the balance sheet. The team also drives thought leadership on topics of strategic importance for the Group and helps shaping the policy dialogue and outcome.Swiss Re Institute is highly visible and interacts with a wide variety of key partners and decision makers across the organization and externally. We are a truly global team located in Zurich, Bratislava, New York, Bangalore, Hong Kong and Beijing and collaborate closely with all of Swiss Re's re/insurance business units and Group functions.Swiss Re embraces diversity and equal opportunity. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. We further collaborate in a flexible working environment, providing all of our employees with a compelling degree of autonomy to decide how, when and where we work most effectively. About the Role: This role presents an exciting opportunity to be a part of Swiss Re's distinguished international research team. Here you'll actively engage in analyzing global natural catastrophe events, associated losses, and the implications of climate change on global re/insurance business. Your research will directly support Swiss Re's business strategy and enhance client engagement. This position serves as an exceptional platform for professional growth, providing frequent interactions with senior management and collaboration with diverse teams across the organization. Expect a dynamic work environment where you'll need to demonstrate flexibility, adaptability, and independent initiative daily. Key tasks and responsibilities include:<ul><li>Collect, curate and analyze large data sets to support research projects related to quantifying and modelling the impact of natural catastrophes, climate change on economy and business.</li><li>Keeping track on daily basis of natural catastrophe related developments and insights and translating them into re/insurance impact and themes</li><li>Contribute to Swiss Re's thought-leadership publications (e.g. sigma, expertise publications, risk insights, etc) by writing pieces or providing ad-hoc support</li><li>Contribute to ad-hoc projects and activities related to natural catastrophe topics; as well as topics around (but not limited to) industry/segment analysis, market analysis, product analysis and other areas of interest to Swiss Re when required</li><li>Preparing high-quality and visually appealing slide decks and presenting findings to internal and external stakeholders (e.g. preparing briefing materials for senior executives, media events, presenting research outcomes at an industry conference, etc.)</li><li>Carrying out assigned responsibilities with minimal direct supervision, and demonstrating good inter-personal and collaboration skills to generate a workflow of projects from Swiss Re’s business units</li><li>Support Group Chief Economist, Head of Insurance Market, Catastrophe Data Analyst and the Line Manager in India on global research projects in collaboration with Swiss Re Institute global hubs as well as different internal/external stakeholders</li></ul> About You: <ul><li>Good understanding of natural perils and their interaction with physical world, and impact on assets, people and organisations.</li><li>An advanced degree in the field of engineering/atmospheric science/economics/statistics, or insurance.</li><li>Minimum three years of experience in quantitative modelling, economic/insurance research and climate/sustainability research.</li><li>Experience in insurance industry, catastrophe risk modelling and industry certifications would be an added advantage.</li><li>Intermediate to advanced programming skills in one or more major statistical software/programming languages such as R, Stata, Matlab, Python is a must.</li><li>Excellent command over written and oral English with experience/interest in writing reports on topics related to natural perils and their impact on the industry.</li><li>Strong attention to detail, quality and accuracy of data and data analytics. Willingness to learn about insurance/reinsurance.</li></ul>   About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property &amp; Casualty and Life &amp; Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.   Keywords:   Reference Code: 134958   <h4>Experience Level</h4>Mid Level

Swiss Re

Research Analyst

Senior Data Engineer (PowerBI Developer) Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security. Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance. <h4>Purpose</h4>
This role defines and implements the best in class data architecture in line with IDEMIAs Data Strategy (services, tools, etc.).<h4>Key Missions</h4>We are hiring for a Senior Data Engineer (PowerBI Developer) based at NSEZ, Noida. Key roles and responsibilities include:<ul><li>Works on technical infrastructure to develop new data pipelines on a daily basis</li><li>Ensures their robustness and scalability</li><li>Works daily on the whole data lifecycle (collect, design, industrialization, automation) at the heart of our technical infrastructures</li><li>Implements a modern data platform architecture and ecosystem including data stores (operational systems, data lakes, data warehouses, data marts), ingress patterns (API, streaming, ETL/ELT) and egress patterns (analytics/decision tools, BI tools) in respect of data security, data governance and of DevOps mindsets</li><li>Adapts constantly our architecture and implements such concepts as traceability, transparency, scalability, measurability and security within a demanding project and technology environment</li><li>Works with our Product and Business Analytics teams to implement the next generation of our product roadmap features</li><li>Implements full data transformation projects and industrialized technical parts in full autonomy</li><li>Design adaptive architecture and pipelines to ensure stability and scalability of all developed projects</li><li>Coaches less experienced data engineers</li></ul><h4>Profile &amp; Other Information</h4>About the Role:Idemia's MDM team is seeking a highly motivated BI Developer to join our dynamic and international Global Business Intelligence department. You will play a key role in our digital transformation journey by leveraging your data analytics expertise to create innovative BI solutions for internal customers across regions.  Who You Are:•    A passionate and results-oriented professional with 4-5 years of experience in data analytics and consulting.•    An expert in translating business needs into scalable BI solutions using tools like SSIS packages, Data Factory, SQL, DAX, SSAS, and Power BI.•    Adept at working within a fast-paced, collaborative environment and thrives on tackling complex challenges.•    Possesses excellent communication skills to effectively collaborate with business stakeholders and internal teams. What You'll Do:•    Partner with business analysts to gather requirements and translate them into actionable data insights.•    Design, develop, and implement robust and user-friendly dashboards using Power BI and other visualization tools.•    Develop and maintain efficient data pipelines using Azure Data Factory and Data Lake Storage.•    Build and optimize data models, ensuring data is cleansed, transformed, and loaded accurately.•    Lead the Power Apps and Power Automate initiatives to streamline data extraction processes.•    Continuously monitor and improve back-end infrastructure for optimal performance and data reliability.•    Analyze large datasets across various systems and synthesize insights to drive informed decision-making.•    Create advanced dashboards that empower teams to track progress, optimize workflows, and improve business outcomes.  Qualifications:•    Bachelor's or master’s degree in computer science, Supply Chain, Information Technology, or a related field.•    4-7 years of experience in data analytics and consulting, with a strong focus on Business Intelligence.•    Proven expertise in Power BI, DAX, SQL, and data modeling techniques.•    Experience with Azure Data Factory, Data Lake Storage, and SSIS packages is a plus.•    Excellent written and verbal communication skills.  Benefits of Joining Idemia:•    Opportunity to be part of a global and dynamic organization at the forefront of digital transformation.•    Work on challenging and impactful projects that drive strategic business decisions.•    Collaborative and supportive work environment with a focus on continuous learning and growth. By choosing to work at IDEMIA, you will join a unique tech company, offering a wide range of growth opportunities. You will contribute to a safer world, collaborating with an international and global community. We value the diversity of our teams and welcome people from all walks of life, regardless of how they look, where they come from, who they love, or what they think. We deliver cutting edge, future proof innovation that reach the highest technological standards and we’re transforming, fast, to stay a leader in a world that’s changing fast, too. At IDEMIA, people can develop their expertise and feel a sense of ownership and empowerment, in a global environment, as part of a company with the ambition and the ability to change the world. Visit our website to know more about the leader in Identity Technologies <a href="https://www.idemia.com">www.idemia.com</a><h4>Experience Level</h4>Senior Level

IDEMIA

Data Engineer

Specialist, Data Science-1<h4>Job Description:</h4>Position Requirements We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problem solving scenarios.<h4>Equal Opportunity Employer</h4>Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.<h4>Experience Level</h4>Senior Level

Pentair Water India Pvt Ltd

AI Product AnalystJob Description SummaryThe Business and Process Analyst for AI Products acts as a critical bridge between business stakeholders and technical teams, ensuring that analyze current-state business processes to uncover opportunities for semantic enrichment and metadata-driven optimization, maintaining comprehensive documentation to support transparency and continuous improvement. Collaboration with data stewards and governance teams ensures alignment with enterprise standards, while support for conceptual and logical data models guarantees relevance to analytics and product goals. The analyst identifies and suggests AI solution areas by validating business problems, assessing data availability, and evaluating feasibility through frameworks such as the AI Operating Model and lifecycle stages from ideation to scale. Job DescriptionStakeholder Communication &amp; Requirement Gathering<ul><li>Engage with cross-functional teams including product, AI/ML, engineering, and business stakeholders to define and prioritize use cases.</li><li>Drive discovery sessions to map data workflows and identify metadata, ontology, and data modeling needs.</li><li>Capture user feedback and process gaps to iteratively refine data semantics and metadata strategies.</li></ul>Business Process Mapping &amp; Improvement<ul><li>Analyze and document current-state business processes, identifying opportunities for semantic enrichment and metadata-driven optimization.</li><li>Maintain detailed process documentation—including workflows, use cases, and user stories—to support transparency and continuous improvement.</li><li>Collaborate with data stewards and governance teams to align metadata and ontology practices with business objectives and standards.</li><li>Support the development and refinement of conceptual and logical data models, ensuring alignment with analytics and product use cases through collaborative reviews, metadata standardization, and data dictionary maintenance.</li></ul>Process Automation &amp; Efficiency<ul><li>Identify opportunities for automating metadata curation, data modeling, and ontology management workflows.</li><li>Collaborate with engineering and infrastructure teams to implement scalable, automated solutions that enhance operational efficiency.</li></ul>Cross-Functional Collaboration<ul><li>Act as a liaison between business, technical, and governance teams to ensure semantic alignment and data quality.</li><li>Coordinate with design, infrastructure, ML, and engineering teams to ensure seamless integration of semantic models and metadata frameworks into enterprise platforms.</li><li>Support training and onboarding of data stewards and business users on semantic standards and tools.</li></ul>Qualification &amp; Work Experience: BE/B. Tech or equivalent degree with relevant experience of 2-3 years in Business and process analyst.  Skills DesiredClinical Data Management, Databases, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model

Novartis India

Business Intelligence Developer

Staff Data Science Consultant II - Supply ChainOverview &amp; Scope:Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.What you’ll do: <ul><li>Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>Feature engineering, configuring forecasting models</li><li>Fine tune forecasting model</li><li>Present results in a clear manner</li><li>Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.</li></ul>What we are looking for:<ul><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>Experience: 10-15 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul>Personal competencies:<ul><li>Ability to work independently and as part of a team in a consulting environment.</li><li>Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Mid Level

Data Science Intern

Sr Staff Data Science Consultant - Supply ChainOverview &amp; Scope:Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.What you’ll do: <ul><li>Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>Feature engineering, configuring forecasting models</li><li>Fine tune forecasting model</li><li>Present results in a clear manner</li><li>Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.</li></ul>What we are looking for: <ul><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>Experience: 14-17 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul>Personal competencies: <ul><li>Ability to work independently and as part of a team in a consulting environment.</li><li>Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Senior Level

Data Scientist Senior StaffOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title: Data Scientist, AI &amp; General Model Validation Location: BangaloreBusiness &amp; Team: Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. Impact &amp; contribution:As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, guiding them to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.Roles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul>Essential Skills: <ul><li>6 to 9 years of experience working with predictive modelling, Gen-AI, and/or software engineering.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, Lang Graph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul>Education Qualification : Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 20/11/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

Data AnalystAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Position Description: The purpose of this role is to deliver key tools, data analyses and reports enabling business decisions for the integrated global medical information team. This role will champion our self-service reporting strategy and would play a key role in helping us automate and create scalable frameworks for our reporting and analytics. We are looking for a hands-on person who can help expand our analytics &amp; reporting capabilities and drive business-critical initiatives.Key Objectives/Deliverables:<ul><li>Understand data sources utilized by the GMI function and Medical Contact Centers, globally.</li><li>Build and exhibit deep expertise on available data sets and supports data enabled decision making by developing data lakes, insights, reporting &amp; visualization<ul><li>Execute and monitor operations tasks to ensure timely availability of data in a reporting / dashboard structure to the business.</li><li>Perform thorough data validations to ensure data quality</li><li>Respond to queries from internal stakeholders</li><li>Consistently meet operations SLAs</li><li>Perform incident resolution and root cause analysis to support data and reporting operations</li></ul></li><li>Consistent delivery of high quality, timely and insightful reports to enable stakeholders and senior leadership to take key decisions<ul><li>Develop and publish regularly, different execution dashboard as per the business roadmap &amp; requirements</li></ul></li><li>Perform descriptive analytics and visualization to provide data-driven actionable insights on planning, execution and outcomes</li><li>Gather requirements &amp; provide recommendations for an integrated, real time data analysis platform</li><li>Demonstrate deep understanding of information and material flows, processes, procedures, systems, and methods</li><li>Demonstrate understanding of internal business partners’ people, processes, and technology</li><li>Partner and collaborate with other site-level teams to identify synergies and implementation of best practices</li><li>Technical Skills<ul><li>Expertise in writing and debugging efficient SQL queries.</li><li>Strong experience in data visualization tools - Power BI or Tableau (Power BI preferred) – Should be able to independently design and develop dashboards as per business requirement.</li><li>Advanced MS-office skills (MS-Excel and MS-PowerPoint)</li><li>Coding: SQL mandatory and one of R, Python would be good to have</li></ul></li><li>Analytical Skills<ul><li>Experience in business analytics</li><li>Data cleaning and preparation skill (database querying, descriptive statistics)</li><li>Problem solving skills and lateral thinking ability and an eye for detail</li></ul></li></ul>Educational Requirements:<ul><li>Bachelor’s or Master’s degree in sciences or quantitative discipline i.e. Finance, Econometrics, Statistics, Engineering or Computer Sciences</li></ul>Additional Preferences:<ul><li>At least 7-9 years of evolving experience in data management, pharma market intelligence, performance reporting/visualization and/or descriptive analytics for leadership, with demonstrated results in understanding, structuring, and making sense of unfamiliar and messy datasets</li><li>Experience with project management software (e.g., Wrike, JIRA, Adobe Workfront) and proficiency in a variety of PC applications and multifunctional diagramming tools including Microsoft Project, Visio, Lucid Chart etc.</li><li>Strong work ethic and personal motivation</li><li>Interpersonal and communication skills with ability to work across time zones.</li><li>Strong stakeholder management skills</li><li>Ability to operate effectively in an international matrix environment.</li><li>Strong team player who is dynamic and result oriented</li><li>Proven planning and organizational skills</li><li>Proven ability to manage multiple projects at a time with flexibility to adjust quickly and effectively to frequent change and altered priorities</li></ul><ul><li>Demonstrated enthusiasm and the ability to work under pressure to meet deadlines</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly

Eli Lilly and Company India Pvt Ltd

Senior Data EngineerWhen our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.Key Accountabilities: Data analysis: <ul><li>Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components.</li></ul>Database design:<ul><li>Develops and maintains specialist knowledge of database concepts, object and data modelling techniques and design principles and a detailed knowledge of database architectures, software and facilities. Analyses data requirements to establish, modify or maintain object/data models. Evaluates potential solutions, demonstrating, installing and commissioning selected products.</li></ul>Programming/ software development:<ul><li>Designs, codes, tests, corrects and documents complex programs and scripts from agreed specifications, and subsequent iterations, using agreed standards and tools, to achieve a well-engineered result. Takes part in reviews of own work and leads reviews of colleagues' work.</li></ul>Systems design: <ul><li>Specifies user/system interfaces and translates logical designs into physical designs taking account of target environment, performance security requirements and existing systems. Produces detailed designs and documents all work using required standards, methods and tools, including prototyping tools where appropriate.</li></ul>Key Responsibilities: <ul><li>Design and develop ETL mappings and workflows using Qlik or Informatica.</li><li>Develop technical specifications for data loading rules.</li><li>Mentor and provide technical guidance for Software Engineers.</li><li>Design, implement, and architect software products.</li><li>Design, implement, and architect product extensions for customer specific requirements.</li><li>Adhere to and produce artifacts (technical specifications, architectural specifications, data models, installation and qualification guides, and release notes) for the software development process.</li><li>Support technical consulting activities to clients in the pharmaceutical industry.</li><li>Design and support clinical trials information sharing solutions.</li><li>Provide application support for existing products.</li><li>Help with release management, using versioning tools such as SVN, and executing live deployments.</li></ul>Skills:<ul><li>Willingness to work in a matrix environment and to value the importance of teamwork.</li><li>Understanding of common system architecture frameworks and concepts.</li><li>Technical awareness of Security and Application Software Development.</li><li>Excellent interpersonal, verbal and written communication skills.</li><li>Client focused approach to work.</li></ul>Knowledge and Experience:<ul><li>Proven relevant experience in systems integration and implementation, or software development, or a related discipline.</li><li>Demonstrated ability to liaise with multiple stakeholders.</li><li>Experience with Microsoft Azure components in particular, Azure SQL, Azure Analysis Services, Synapse.</li><li>Experience implementing ETL solutions, particularly utilizing Qlik Replicate and Compose. </li><li>Strong Database Development Skills, particularly implementing SQL solutions in Azure SQL, Synapse or Databricks. environments. Good experience with large datasets.</li><li>Experience improving Data Quality in Data Warehouses, particularly utilizing Informatica Data Quality.</li><li>Experience testing ETL solutions, particularly utilizing Informatica DVO product.</li><li>Experience using Enterprise Architecture modeling tools, frameworks and methodologies such as TOGAF, SPARX EA, UML, BPMN, ArchiMate etc.</li><li>Experience Designing Data Warehouses, applying Kimball’s Dimensional Modeling Techniques, Architecting ETL systems.</li><li>Experience working in Agile development software methodology, authoring technical documents / specifications.</li><li>Experience debugging complex software systems.</li><li>Significant experience implementing data-driven systems with large-scale relational or object-oriented databases. </li><li>Ability to work in a high pressure, result/deadline-oriented environment.</li></ul>Education:<ul><li>Bachelor's Degree in technical discipline (Math’s, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience.</li></ul><h4>Experience Level</h4>Senior Level

Parexel International (india) Private Limited

Business AnalystAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership &amp; economics.The ACOE's delivery framework streamlines data-driven decision-making by offering a comprehensive solution for metrics, actionable dashboards, performance optimization, impact measurement, ROI analysis, opportunity prioritization, anomaly-driven alerts, root cause diagnostics, and hypothesis testing.The Community You Will Join: We are looking for a business insights analyst in our India Analytics team who will work with the AirCover Operations Team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to product and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Business Insights family and support Product and Business leaders within our AirCover Operations.The Difference You Will Make:<ul><li>Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics.</li><li>Build business insights capabilities, passionate about solving complex problems with data; adding  a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.</li><li>You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging.</li><li>Develop a deep understanding of how guests and hosts interact with our AirCover platform and how we can improve processes, through structured and unstructured data sources.</li></ul>A Typical Day: <ul><li>Execute projects with regular direction;  providing constant updates to business stakeholders, analytics management and delivering against agreed timelines.</li><li>Ensure the availability of data quality and data integrity for analysis and reporting, working closely with global operations and India analytics functions.</li><li>Execute ad-hoc reporting, data investigations, uncover root causes,  prioritize demands and identify opportunities for the business, considering the business needs and long-term goals and objectives.</li><li>Understand and solve business problems within assigned scope using relevant analytical tools and techniques, including descriptive, diagnostic, and predictive analytics.</li><li>Understand how to best measure the performance of Airbnb products and business through new metrics and dimensions. </li><li>Present and drive ideations, solutions, and progress updates to the business stakeholders.</li><li>Set a roadmap for projects up to a month ahead, after consulting with the team manager considering timelines and resources.</li></ul>Your Expertise:<ul><li>3+ years experience in an analyst role requiring data interrogation, analysis &amp; storytelling.</li><li>Advanced level proficiency in SQL &amp; presentation tools like Google Slides, and PowerPoint.</li><li>Intermediate level proficiency in Python/R, Tableau/Power BI.</li><li>Intermediate level proficiency in ML techniques, cohort analysis, funnel analysis, segmentation, factor and sensitivity analysis, and statistical methods.</li><li>Beginner level understanding of data warehouses/data lakes such as Presto, Hive, Teradata, Spark etc. </li><li>Ability to handle complex datasets and conduct analysis to preemptively identify issues &amp; surface actionable insights &amp; recommendations to mitigate risk.</li><li>Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment.</li><li>Hands-on experience partnering with internal teams to drive action and providing expertise and direction on insights generation, root cause analysis, and metric measurement.</li><li>Exceptional problem-solving abilities, self-motivation and ability to work autonomously, taking ownership of projects and driving them to completion.</li><li>Strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.</li><li>Knowledge and  experience in Marketplace  Operations and Insurance programs would be a plus</li></ul>Our Commitment To Inclusion &amp; Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.Please Note that this role is open for Gurgaon &amp; Bangalore locations. How We'll Take Care of You:Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.  India Pay Range₹1,230,000—₹1,750,000 INR<h4>Experience Level</h4>Mid Level

Airbnb India Private Limited

Business Analyst

Data Operations Specialist<h4>Company Description</h4>Our MissionAt Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.<h4>Job Description</h4>Your CareerAt Palo Alto Networks, success is driven by leveraging trusted data to inform strategic decisions across our entire Go-to-Market (GTM) engine.Our Data Operations Team, a core function within GTM Business Operations, ensures our critical sales and customer data (primarily in Salesforce.com) is governed, accurate, and reliable. We are the essential front line for data quality.As a Data Operations Specialist, you will execute the data maintenance, monitoring, and resolution needed to directly impact sales velocity, reporting accuracy, and the overall customer experience. You'll manage high-priority escalations, track data changes, and identify trends to drive continuous improvement in our systems and policies.This role reports to the Senior Manager, Sales Operations and requires extensive partnership across GTM Business Operations, Customer Support, IT, Finance, and other organizations. You ensure our teams have the trusted data foundation required to secure the future.Your ImpactYou will be instrumental in maintaining the integrity and reliability of our most critical GTM data, directly enabling faster sales cycles and accurate business forecasting. Key responsibilities include:<ul><li>Service Queue Management: Prioritize and handle a high volume of data service requests, ensuring timely, effective resolution within defined Service Level Agreements (SLAs).</li><li>Data Validation and Research: Execute complex updates to account hierarchies, deduplication, and firmographic data by meticulously researching and analyzing public and third-party data sources.</li><li>Data Standards Enforcement: Act as a critical enforcer of established data standards and policies, ensuring consistent adherence across teams to maintain peak data integrity.</li><li>Mass Data Execution: Perform necessary analysis and large-scale updates to account information, utilizing internal tools to drive measurable improvements in data accuracy.</li><li>Complex Issue Resolution: Investigate and manage escalated "corner case" issues, providing thorough root-cause analysis and documentation.</li><li>Performance Optimization: Monitor and record trends in service requests, identifying error rates and interpreting dashboard results to propose and implement process enhancements.</li><li>Cross-Functional Partnership: Collaborate closely with the broader Data Operations Team to document data standards and policies effectively.</li></ul><h4>Qualifications</h4>Your Experience <ul><li>We seek a highly organized, proactive, and independent problem-solver with 7+ years of experience, who thrives in a high-growth environment:</li><li>Mindset &amp; Approach:<ul><li>Strong passion for data accuracy and solving complex data challenges.</li><li>Highly detail-oriented with proven ability to investigate and validate data integrity.</li><li>Ability to operate independently and manage multiple tasks simultaneously.</li><li>Comfortable in a fast-paced, dynamic work environment.</li><li>Business-centric approach with experience collaborating with various functional teams.</li></ul></li><li>Communication &amp; Collaboration:<ul><li>Excellent written and verbal communication skills (English fluency required).</li><li>Proven ability to manage requestor escalations effectively.</li></ul></li><li>Technical Acumen:<ul><li>Ability to rapidly learn new tools, platforms, and business processes.</li><li>Experience with advanced Google Sheets/Spreadsheets is required.</li><li>Significant experience with Salesforce.com (SFDC) and SFDC-related tools (e.g., SOQL, ETL, Salesforce Inspector) is a major advantage</li></ul></li><li> </li></ul><h4>Additional Information</h4>The TeamOur  Strategy &amp; Operations team at Palo Alto Networks works on a set of strategic initiatives to drive process improvement projects to deliver improved efficiency and scale through simplification, automation and innovation across Sales Operations tools and processes.You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world.Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  <a href="mailto:accommodations@paloaltonetworks.com">accommodations@paloaltonetworks.com</a>.Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.<h4>Experience Level</h4>Senior Level

Palo Alto Networks

Tableau/Power BI +Python Developer - ConsultantJob Title: Data Analyst (Power BI/Tableau and Python)Location: BangaloreJob Overview:We are seeking a talented Data Analyst with 4-6 years of experience in Power BI/Tableau and Python to join our dynamic data analytics team. The ideal candidate will possess strong analytical skills, proficiency in data visualization, and robust programming capabilities to analyze complex data sets and generate actionable insights.Key Responsibilities:<ul><li>Data Analysis:<ul><li>Analyze complex data sets to identify trends, patterns, and insights.</li><li>Use Python for data cleaning, transformation, and advanced analysis.</li></ul></li><li>Data Visualization:<ul><li>Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions primarily using Power BI or Tableau.</li><li>Design, create and deploy reports using Power BI or Tableau.</li><li>Optimize dashboards with a focus on usability, performance, flexibility, and standardization.</li></ul></li><li>Reporting:<ul><li>Create regular reports for stakeholders, including executive summaries and detailed data analysis.</li><li>Collaborate with business units to gather requirements and deliver data solutions tailored to their needs.</li></ul></li><li>Data Management:<ul><li>Ensure the accuracy and integrity of data through thorough validation and regular data quality checks.</li><li>Manage databases and data models to support analytical needs.</li></ul></li><li>Collaboration:<ul><li>Work closely with cross-functional teams to understand their data needs and provide solutions.</li><li>Participate in team meetings and contribute to the development of data-driven strategies.</li></ul></li><li>Continuous Improvement:<ul><li>Stay updated on the latest trends and technologies in data analytics and visualization.</li><li>Identify opportunities for process improvement and implement best practices.</li></ul></li></ul>Qualifications:<ul><li>Education:<ul><li>Bachelor’s degree in data science, Computer Science, Statistics, or a related field. </li></ul></li><li>Experience:<ul><li>4-6 years of experience in data analysis, with a strong focus on Power BI / Tableau and Python.</li><li>Proven track record of working with large and complex data sets.</li></ul></li><li>Technical Skills:<ul><li>Proficiency in Power BI and Tableau, with hands-on experience in developing and managing dashboards and reports.</li><li>Strong knowledge of Python for data manipulation, automation, and analysis.</li><li>Experience with DAX (Data Analysis Expressions) and SQL (Structured Query Language) for querying and managing data.</li><li>Familiarity with data warehousing concepts and relational databases.</li><li>Certification in Tableau/ Power BI will be a plus.</li><li>No constraint on working from ODC – if there is a client ask.</li></ul></li><li>Soft Skills:<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to manage multiple tasks and projects in a fast-paced environment.</li><li>Detail-oriented with a focus on delivering high-quality work.</li></ul></li></ul>  Job Title: Data Analyst (Power BI/Tableau and Python)Location: BangaloreJob Overview:We are seeking a talented Data Analyst with 4-6 years of experience in Power BI/Tableau and Python to join our dynamic data analytics team. The ideal candidate will possess strong analytical skills, proficiency in data visualization, and robust programming capabilities to analyze complex data sets and generate actionable insights.Key Responsibilities:<ul><li>Data Analysis:<ul><li>Analyze complex data sets to identify trends, patterns, and insights.</li><li>Use Python for data cleaning, transformation, and advanced analysis.</li></ul></li><li>Data Visualization:<ul><li>Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions primarily using Power BI or Tableau.</li><li>Design, create and deploy reports using Power BI or Tableau.</li><li>Optimize dashboards with a focus on usability, performance, flexibility, and standardization.</li></ul></li><li>Reporting:<ul><li>Create regular reports for stakeholders, including executive summaries and detailed data analysis.</li><li>Collaborate with business units to gather requirements and deliver data solutions tailored to their needs.</li></ul></li><li>Data Management:<ul><li>Ensure the accuracy and integrity of data through thorough validation and regular data quality checks.</li><li>Manage databases and data models to support analytical needs.</li></ul></li><li>Collaboration:<ul><li>Work closely with cross-functional teams to understand their data needs and provide solutions.</li><li>Participate in team meetings and contribute to the development of data-driven strategies.</li></ul></li><li>Continuous Improvement:<ul><li>Stay updated on the latest trends and technologies in data analytics and visualization.</li><li>Identify opportunities for process improvement and implement best practices.</li></ul></li></ul>Qualifications:<ul><li>Education:<ul><li>Bachelor’s degree in data science, Computer Science, Statistics, or a related field. </li></ul></li><li>Experience:<ul><li>4-6 years of experience in data analysis, with a strong focus on Power BI / Tableau and Python.</li><li>Proven track record of working with large and complex data sets.</li></ul></li><li>Technical Skills:<ul><li>Proficiency in Power BI and Tableau, with hands-on experience in developing and managing dashboards and reports.</li><li>Strong knowledge of Python for data manipulation, automation, and analysis.</li><li>Experience with DAX (Data Analysis Expressions) and SQL (Structured Query Language) for querying and managing data.</li><li>Familiarity with data warehousing concepts and relational databases.</li><li>Certification in Tableau/ Power BI will be a plus.</li><li>No constraint on working from ODC – if there is a client ask.</li></ul></li><li>Soft Skills:<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to manage multiple tasks and projects in a fast-paced environment.</li><li>Detail-oriented with a focus on delivering high-quality work.</li></ul></li></ul>  Job Title: Data Analyst (Power BI/Tableau and Python)Location: BangaloreJob Overview:We are seeking a talented Data Analyst with 4-6 years of experience in Power BI/Tableau and Python to join our dynamic data analytics team. The ideal candidate will possess strong analytical skills, proficiency in data visualization, and robust programming capabilities to analyze complex data sets and generate actionable insights.Key Responsibilities:<ul><li>Data Analysis:<ul><li>Analyze complex data sets to identify trends, patterns, and insights.</li><li>Use Python for data cleaning, transformation, and advanced analysis.</li></ul></li><li>Data Visualization:<ul><li>Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions primarily using Power BI or Tableau.</li><li>Design, create and deploy reports using Power BI or Tableau.</li><li>Optimize dashboards with a focus on usability, performance, flexibility, and standardization.</li></ul></li><li>Reporting:<ul><li>Create regular reports for stakeholders, including executive summaries and detailed data analysis.</li><li>Collaborate with business units to gather requirements and deliver data solutions tailored to their needs.</li></ul></li><li>Data Management:<ul><li>Ensure the accuracy and integrity of data through thorough validation and regular data quality checks.</li><li>Manage databases and data models to support analytical needs.</li></ul></li><li>Collaboration:<ul><li>Work closely with cross-functional teams to understand their data needs and provide solutions.</li><li>Participate in team meetings and contribute to the development of data-driven strategies.</li></ul></li><li>Continuous Improvement:<ul><li>Stay updated on the latest trends and technologies in data analytics and visualization.</li><li>Identify opportunities for process improvement and implement best practices.</li></ul></li></ul>Qualifications:<ul><li>Education:<ul><li>Bachelor’s degree in data science, Computer Science, Statistics, or a related field. </li></ul></li><li>Experience:<ul><li>4-6 years of experience in data analysis, with a strong focus on Power BI / Tableau and Python.</li><li>Proven track record of working with large and complex data sets.</li></ul></li><li>Technical Skills:<ul><li>Proficiency in Power BI and Tableau, with hands-on experience in developing and managing dashboards and reports.</li><li>Strong knowledge of Python for data manipulation, automation, and analysis.</li><li>Experience with DAX (Data Analysis Expressions) and SQL (Structured Query Language) for querying and managing data.</li><li>Familiarity with data warehousing concepts and relational databases.</li><li>Certification in Tableau/ Power BI will be a plus.</li><li>No constraint on working from ODC – if there is a client ask.</li></ul></li><li>Soft Skills:<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to manage multiple tasks and projects in a fast-paced environment.</li><li>Detail-oriented with a focus on delivering high-quality work.</li></ul></li></ul>  <h4>Experience Level</h4>Senior Level

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