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AnalystData Science: AnalystExperience: 1+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 1+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: AnalystExperience: 1+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 1+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: AnalystExperience: 1+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 1+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> <h4>Experience Level</h4>Entry Level

Kpmg India Services Llp

Data Scientist

Senior Data Scientist, Product, Android App Safety<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. </li><li>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. </li><li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li><li>Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods.</li><li>Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve problems.</li><li>Ability to present to executives and communicate effectively with highly technical leadership teams. </li><li>Ability to manage multiple assignments simultaneously in a fluid environment.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
<h4>Responsibilities</h4><ul><li>Work with large, internal datasets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.</li><li>Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.</li><li>Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements.</li><li>Develop, own and evolve investigative frameworks providing source of truth measures for the organization.</li><li>Conduct analysis on opportunities and risks, enabling the team to understand trends and prioritize resources.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Principal consultant, RGM Data PlatformIt's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.<h4>Job Description – Principal consultant, RGM Data Platform</h4>(RGM Practice – Fractal Analytics)<h4>Role Overview</h4>Fractal’s Revenue Growth Management (RGM) practice partners with leading global CPGs to unlock sustainable growth across pricing, promotions, assortment, and trade terms. We are seeking a Principal / Senior Manager – RGM Data Platforms with 12–15 years of experience in building scalable data foundations that power advanced analytics and AI solutions in the RGM domain. This role will sit within the RGM practice and will be responsible for designing and scaling fit-for-purpose RGM data ecosystems, enabling elasticity modeling, promotion ROI, price-pack architecture, and assortment analytics for global clients.<h4>Key Responsibilities</h4><h4>RGM Data Strategy &amp; Foundations</h4>• Define and implement data architecture for RGM use cases, integrating syndicated data, retailer data, POS, panel, ERP/finance, and trade terms. • Establish RGM data models and marts that harmonize multi-country, multi-retailer datasets for consistency and comparability. • Drive data quality, governance, and lineage frameworks to ensure reliability of RGM analytics and KPIs.<h4>Analytics &amp; Product Enablement</h4>• Partner with RGM data science teams to operationalize price elasticity, promotion effectiveness, assortment optimization, and pack-price architecture models. • Build reusable RGM data products such as KPI libraries, feature stores, and similarity engines for scalable client deployments. • Support the rollout of AI-enabled RGM solutions, including prescriptive recommendations and agentic AI-driven decision support.<h4>Leadership &amp; Collaboration</h4>• Act as the data platforms lead within the RGM practice, collaborating with product managers, client partners, and consultants. • Mentor and guide teams on best practices for RGM-specific data engineering. • Translate data design decisions into business outcomes that drive measurable client impact across pricing, promotion, and profitability.<h4>Qualifications &amp; Experience</h4>• 15-20 years of experience in data platforms and advanced analytics enablement, with at least 5 years in CPG/Retail or RGM-related domains. • Strong expertise in cloud-native ecosystems (Snowflake, Databricks, Azure, AWS, GCP) and modern data stack (SQL, PySpark, DBT, Airflow, Kafka). • Deep knowledge of RGM levers (pricing waterfalls, trade promotions, pack-price architecture, assortment, trade terms). • Demonstrated ability to design and scale global CPG data ecosystems for analytics and decision support. • Familiarity with model enablement workflows (elasticity, promotion ROI, mix optimization).• Knowledge of AI and GenAI adoption in RGM, including agentic AI for automated decision-making. • Experience integrating syndicated (Nielsen, IRI), retailer, and ERP/MDM datasets. • Strong executive communication and stakeholder management skills, with the ability to link data decisions to RGM growth outcomes.<h4>Why Join Us</h4>• Play a pivotal role in shaping Fractal’s RGM solutions, helping global CPG clients unlock growth and profitability. • Work at the intersection of RGM, advanced analytics, and AI, driving innovation in pricing, promotions, and assortment. • Join a high-impact practice where data platforms are the backbone of prescriptive RGM strategy.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!<h4>Experience Level</h4>Senior Level

Fractal Analytics Private Limited

Junior Consultant

Senior Associate Data ScientistOrganization: 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: Senior Associate Data Scientist Location: Bengaluru - Manyata Tech Park Business &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. 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, collaborating 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>4+ years of experience in the financial services and/or technology sector, or relevant experience in research.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch; 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., LangChain, LangGraph) 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/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics.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: 25/10/2025<h4>Experience Level</h4>Mid Level

Commonwealth Bank of Australia

Data ScientistEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.Synopsis of the role Join our Identity and Fraud Solution Analytics group as a Data Scientist, where you will play a pivotal role Analyze multiple complex data sources using statistical analysis and programming languages to inform business decision making. Delivers analytical and commercial solutions for internal and external customers. Develops models and other analyses to test hypotheses and understand the potential impacts of decisions under various scenarios. Able to communicate analytical results to generate improved business decisions and profitability. Combines business requirements and existing processes and data knowledge to create analytical solutions. What you’ll do ● Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. ● Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources ● Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions ● Collaborate with stakeholders to improve model performance, interpret results, and provide actionable insights. ● Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. ● Package, summarize and visualize analytical findings and results for management. ● Evaluate the work of peer and/or junior data scientists to ensure high quality solutions ● Prioritizes and organizes own work to meet deadlines and deliver quality results ● Identifies and solves a range of problems in straightforward situations. ● Design, management and delivery of analytical insights and solutions through data analysis, data management and data science. ● Primary activities include delivering technical, business strategic expertise and ensuring proper governance of data sources, models, attributes and analytic platforms. Accountable for the data and insight strategy and its execution for the companyWhat experience you need ● BS degree in a STEM major or equivalent discipline. ● 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models ● Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills ● Python/SQL coding experience is a must have technical skill. ● Artificial Intelligence - Utilize artificial intelligence to improve process efficiency, effectiveness and products ● Collaboration - Work collaboratively across different projects, communicating technical details to technical and non-technical stakeholders. Manage own priorities within and across teams. ● Commercial Acumen - Have a good understanding of a product and related market segments and understand the technical intricacies of how this product solves a commercial problem.● Decision Modeling - Understand advanced statistical concepts used to contribute to the development of stress tested deployable machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.). ● Leadership and Teamwork - Participate in a collaborative and productive team environment and take charge of technical and self development ● Problem Solving - Utilize hypothesis based problem solving to deliver pragmatic resolutions to business problems. ● Statistical Programming - Execute and contribute to version controlled code and make use-case-specific modifications as needed. Manipulate and work with unstructured/structured, small and big data What could set you apart ● Cloud certification strongly preferred. ● Additional role-based certifications may be required depending upon region/BU requirements. ● lending, credit risk and marketing analytics space - both in India &amp;amp; International. ● Chance to use cutting-edge statistical/modeling tools across literally hundreds of data assets. ● Offices located in the center of Bangalore &amp;amp; Mumbai. ● Utilize artificial intelligence to improve process efficiency, effectiveness and products ● Equifax D&amp;amp;A University: skill lab, group &amp;amp; individual learning.We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Bangalore-Equifax-AnalyticsFunction: Function - Data and AnalyticsSchedule: Full time

Equifax Credit Information Services Pvt Ltd

Analytics COE - Data EngineerPosition Overview:As a key member of the Analytics Tooling Center of Excellence (COE) in Asset &amp; Wealth Management (AWM), you will contribute to a team of BI professionals and data engineers in support of our BI platforms and services for Alteryx, Tableau, ThoughtSpot, and other low-code BI platforms, such as Sigma, that are under consideration for our user community.  Additionally, you will collaborate closely with product, operations, and data teams to understand business problems, identify underlying challenges, and support the deployment, governance, AWM controls management, and adoption for these platforms and services.  The primary responsibilities for this position will include driving the well governed, effective, and innovative rollout of analytics tools to non-technical users and citizen developers, while advancing the adoption of a portfolio of zero-code Business Intelligence (BI) solutions. The leader in this role will be instrumental in advancing our analytics capabilities and fostering a culture of data-driven decision-making across the organization. Job Responsibilities:- Support and manage processes for the adoption and administration of analytical platforms such as Alteryx, Tableau, ThoughtSpot, and other analytical data bases to include user provisioning and support; maintenance of server hygiene, and operational effectiveness.- Support processes to manage the delivery of our analytical platforms such as SLA tracking, incident management, and problem management.- Hands-on development and management for BI platforms and tools like ThoughtSpot, Tableau, Alteryx, SQL, and Python.- Maintain key controls, policies, and procedures for BI tool usage.- Knowledge of logical and physical data modeling to support business use cases and technological advancements.- Build code to extract raw data, coach the team on techniques to validate its quality, and apply deep data knowledge to ensure the correct data is consumed and visualized.- Implement solutions and self-healing processes that minimize points of failure across multiple product features.- Design, develop, and manage proof of concept projects for dynamic data visualization solutions like Tableau and ThoughtSpot that provide actionable insights for informed decision-making. Qualifications/Skills (Required):- Minimum 3 years of experience in analytics/business intelligence to deliver data-driven insights and strategic solutions, with hands-on expertise in BI tools for advanced analytics, complex data manipulations, and crafting advanced data visualizations.- Experience publishing and managing dashboards, reports with optimized scheduling, addressing data discrepancies and performance issues proactively.- Experience in data engineering or a related field.- Experience collecting, refining, and transforming data from diverse sources using advanced SQL queries and Alteryx/ETL expertise.- Mastery of SQL, including the ability to design and optimize complex queries and database structures.- Experience working across the Service Delivery Lifecycle on engineering enhancements and ongoing maintenance of existing applications.- Experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.- Experience defining critical data scope within products, documenting, classifying, and enriching data with comprehensive metadata for effective use.- Drive projects efficiently using experience with tools like JIRA and Confluence, demonstrating agility and adaptability to transition swiftly between projects and meet evolving demands.- Exhibit exceptional written and verbal communication.- Experience with version control systems and tools, such as Git, GitHub, GitLab, and Bitbucket. Qualifications/Skills (Desired):- Hands-on expertise in BI tools like Alteryx, Tableau, and ThoughtSpot for advanced analytics, complex data manipulations, and crafting advanced data visualizations.- Experience with Python to effectively meet future and evolving data needs, while adeptly tackling complex data logic. Qualifications/Skills (Nice to Haves):- Build and manage end-to-end cloud-native data pipelines in AWS, leveraging hands-on expertise with AWS components.- Strong understanding of Data Mesh, data modeling, and domain-driven design principles.- Experience working in large-scale data engineering projects and implementing custom solutions to meet business objectives. Ideal Candidate:You should possess exceptional strategic thinking and problem-solving skills, with the ability to work within a dynamic, fast-paced environment. You are self-driven, motivated, and a team player. <h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Engineer

Risk-Bengaluru-Analyst-Quantitative EngineeringRisk Engineering is part of the Risk Division of Goldman Sachs. This is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide analytical solutions, data-driven insights, robust metrics and effective technologies for risk management. RE is staffed globally with offices in USA, UK, Europe, Bengaluru, Singapore, and Tokyo. GSRisk group in Risk Engineering is a multidisciplinary group of quantitative experts responsible for building the next generation of Risk pricing and analytics platform. The team builds and deploys advanced pricing and analytics platforms that deliver sophisticated risk measures like Value at Risk (VaR) and Stress Tests, driving significant efficiencies and ensuring best-in-class risk management.The responsibilities of GSRisk Strats include:<ul><li>Design, implement, and maintain the risk platform that scales to billions of scenarios across risk stripes, financial products, asset classes and metrics</li><li>Design declarative domain specific languages to express risk models across risk stripes and asset classes</li><li>Perform quantitative analysis on large datasets to facilitate understanding of the market risk for a variety of financial derivatives, including exotic products</li><li>Liaise with multiple groups across the firm including strats, traders, technology, controllers, and treasury to converge on a shared risk platform</li><li>Communicate clearly about complex mathematical concepts with internal and external stakeholders such as risk managers, market making businesses, senior management and regulators.</li><li>Mentor and develop junior risk management professionals withing the division</li></ul>In performing the job function, an associate in GSRisk Strats will have the following opportunities:<ul><li>Exposure to challenging problems at the intersection of mathematics, computer science, and finance</li><li>Exposure to challenging quantitative problems such as derivative pricing, modeling market and counterparty risk for complex portfolios, large scale Monte Carlo simulations of portfolios across the firm, and fast approximation of market risk measurements</li><li>Exposure to challenging system design problems such drawing risk insights from billions of prices</li><li>Development of quantitative, programming and system design skills, as well as product and market knowledge.</li><li>Work in a dynamic teamwork environment.</li></ul>Basic Qualifications:<ul><li>Bachelor's Degree in a relevant field: Computer Science, Mathematics, Physics, Engineering</li><li>Strong quantitative, programming, and system design skills </li><li>Good knowledge of statistics, system design, econometric modeling and probability theory.</li><li>Strong written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audience.</li></ul>Preferred Qualifications:<ul><li>Competence in advanced mathematics, system design, and data science</li><li>Experience working with large data sets</li></ul><h4>Experience Level</h4>Mid Level

Goldman Sachs Services Pvt Ltd

Business Intelligence Engineer

Senior Data Analyst<h4>Company Description</h4>Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.<h4>Job Description</h4>Job Purpose &amp; Dimensions:<ul><li>Support OneRenesas SCM Master data Project team to meet milestones &amp; Project End Goal</li><li>Support Data migration activities in Integration Project</li><li>Support in User testing and validation of Master data according to the Project Plan</li><li>Support Master data governance process</li><li>Support Operational activities related to Master Data</li></ul>Principal Accountabilities: <ul><li>Cross-Functional Collaboration Work closely with various teams across the organization to maintain, enhance, and harmonize master data systems and processes.</li><li>Data Quality &amp; Integrity Ensure high-quality master data by performing root cause analysis, implementing corrective actions, and regularly reviewing key parameters (e.g., yield, lead time, buffer stocks, vendor costs).</li><li>Automation &amp; Process Improvement Drive automation and harmonization of data maintenance processes to improve efficiency and consistency.</li><li>Project &amp; Change Management Lead and support initiatives, enhancements, and projects related to master data and reporting, including functional specifications, design reviews, testing phases, and user training.</li><li>Training &amp; Knowledge Sharing Train Master Data team members and other departments on tools, processes, and best practices, including organizing and conducting training sessions.</li><li>Stakeholder Engagement Partner with internal and external business functions to ensure global master data is maintained at the highest quality level.</li><li>Continuous Improvement &amp; Documentation Document lessons learned, develop contingency plans, and support continuous improvement efforts aligned with organizational standards like OneRenesas.</li></ul>Key Performance Measures: <ul><li>90% of Data Analysis and 10% of reporting</li><li>Meeting Project Milestones</li><li>Responsiveness to Internal Customers</li><li>Supply Chain Planning accuracy</li><li>Internal Customer satisfaction</li><li>Master Data Accuracy</li><li>On time delivery of Data analysis to stakeholders</li></ul>Knowledge, Skills and Experience: <ul><li>Data Analysis &amp; Problem-Solving Ability to analyze large datasets, identify trends, and recommend actionable insights. VBA/ Python skills</li><li>Stakeholder Communication Ability to work with Planners, Operations, IT, and Suppliers to align supply chain strategies.</li><li>Process Optimization Experience in LEAN, Six Sigma, or other continuous improvement methodologies</li><li>ERP &amp; Analytics Tools Hands-on experience with SAP MM, PP, IBP, Kinaxis, or Python for automation and analysis</li><li>Project Management Ability to manage cross-functional projects using Agile or Waterfall methodologies</li><li>Semiconductor Supply Chain Understanding of wafer fabrication, assembly, and test processes, long lead times, and capacity constraints</li><li>Supply Chain Planning &amp; Execution Familiarity with concepts like Demand Planning, Supply Planning, Order Management, Inventory Optimization, and Logistics.</li><li>ERP &amp; APS Systems Familiarity with SAP S/4HANA, Kinaxis Rapid Response or other advanced planning systems</li><li>Data Analytics &amp; Reporting Understanding of data models, SQL, dashboards (Power BI/Tableau), and KPIs like cycle time, OTD, and inventory turns.</li><li>Excellent Business English, written and verbal communication skills.</li></ul><h4>Qualifications</h4><ul><li>University degree or master's in mechanical / industrial engineering / mathematics</li><li>5-8 years of overall experience ind. SAP system knowledge</li><li>4+ years of experience with technical and commercial responsibility, preferable in the semiconductor related industry</li><li>Basic Supply Chain Management (SCM) Knowledge</li><li>Strong conceptual problem solving, and analytical skills</li><li>Strong interpersonal skills including teamwork, facilitation and negotiation</li><li>Ability to think creatively and produce innovative solutions</li><li>Own initiative and resilience</li><li>Project Management Certification is a plus</li></ul><h4>Additional Information</h4>Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog &amp; Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’      At Renesas, you can: <ul><li>Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  </li></ul><ul><li>Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. </li></ul><ul><li>Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.    </li></ul>Are you ready to own your success and make your mark?  Join Renesas. Let’s Shape the Future together.  Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our <a href="https://jobs.renesas.com/diversity-and-inclusion">Diversity &amp; Inclusion Statement</a>.<h4>Experience Level</h4>Senior Level

Renesas Electronics India Pvt Ltd

Data Analyst

Data Business AnalystThe Business Analyst is responsible for supporting the Product Owner and acting as a delegate for the Product Owner and partners with the Engineers. Depending on the size of the squad, the Delivery and Business Analyst role could be one person, part of a role, or separate roles depending on the size and complexity of the squad.These roles cover governance, planning, tracking status, risks &amp; issues, supporting with gathering requirements, writing epics, features, stories, ensuring requirements get built, and all activities needed to ensure that the product is ready to go live.Support the Product Owner by partnering with the Engineering teams to ensure what maps to how.Responsible for conducting comprehensive analysis of existing business processes, systems, and workflows to identify areas for improvement. Uses the RORA framework and techniques such as interviews, workshops, and document analysis to gather and validate requirements effectively.Responsible for estimating the size of the backlog, refining and prioritising it by conducting regular reviews with the development team and managing scrum ceremonies.Responsible for clarifying requirements to ensure a well-defined and actionable backlog for successful development, defining acceptance criteria, and ensuring all dependencies are interlocked.Responsible for developing functional specifications, process flow diagrams, wireframes, and other required documentation to articulate the proposed solutions. Defines key performance indicators (KPIs) and metrics to measure the success of implemented solutions.Collaborates with UX/UI and service designers to develop user-friendly interfaces, service maps, and efficient operating models that enhance user experience, increase adoption, and reduce costs.Supports the Engineering team in developing test plans, scenarios, and cases; conducting user testing; documenting resolution of defects; and collaborating with stakeholders to ensure the product meets user expectations.Responsible for ensuring all readiness activities (Design, Legal, Risk, Tech, Operations, Customer) are complete for the product to go live in accordance with the Readiness Checklist.Responsible for collaborating with the PMO function to ensure relevant governance is in place, reporting requirements are met, and RAID items are tracked and managed.   Additional Responsibilities:Facilitates regular engagement with business stakeholders to gather feedback, align priorities, and ensure changing business needs are reflected in the backlog.Performs impact analysis on proposed changes to evaluate effects on processes, systems, and users, providing recommendations based on feasibility and business value.Maintains end-to-end traceability of requirements from definition through development, testing, and deployment, ensuring alignment with compliance and audit needs.Identifies inefficiencies and recommends data-driven improvements through retrospectives and continuous improvement practices.Supports change management by contributing to user guides, training documentation, and internal communication for smooth transitions and successful adoption.Participates in release planning to align scope and timelines with technical readiness and business priorities.Monitors post-deployment outcomes through KPIs and feedback loops to ensure business value is achieved.Collaborates with data and analytics teams to ensure business intelligence requirements are captured and data integrity is maintained.Ensures compliance with industry regulations and internal governance by validating that all documentation and processes meet applicable standards.Mentors junior Business Analysts and supports professional development through guidance, coaching, and best practice sharing.Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this <a href="https://www.lseg.com/content/dam/lseg/en_us/documents/policies/lseg-global-candidate-privacy-notice.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprivacyportalde-cdn.onetrust.com%2Fdsarwebform%2F5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc%2F4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html.&amp;data=04%7C01%7Cbhavya.rajesh%40refinitiv.com%7C5998c534e4414d538b5008d96d2cce9f%7C71ad2f6261e244fc9e8586c2827f6de9%7C0%7C0%7C637660862381817886%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tsXMrVLiU6mEDSYR3lPSoKobrJfrDcmk34w9RIHdUfI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a>. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

London Stock Exchange Group

Business Data Analyst

Data Scientist (Hybrid)Job Title Data Scientist (Hybrid)Job DescriptionFor more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students’ lives.The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.The Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modeling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he should be able to apply their data science expertise in identifying, defining and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members.The Data Scientist should have the ability to communicate the project details or findings to the stakeholder.Key Responsibilities:<ul><li>Perform the full range of predictive/advanced analytics and data sciences methodologies, techniques and outputs  associated with the Data Sciences area of expertise  </li><li>Extract, manipulate, analyze &amp; interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations (where applicable)</li><li>Generate clearly understood and intuitive data sciences / advanced analytics outputs</li><li>Produce high-quality, error-free data sciences outputs</li><li>Participate in best practice sharing and communication platform for advancement of the data sciences discipline</li><li>Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations</li><li>Assist in developing data sciences training for both team members and stakeholders </li><li>Collaborate and help other data scientists </li><li>Present impact, insights, outcomes &amp; recommendations to key business partners and stakeholders.</li><li>Other duties as assigned.</li><li>Hybrid Schedule: 3 days remote / 2 days in office</li><li>30-day notification period preferred</li></ul>Minimum Requirements:<ul><li>Bachelor's Degree (B.A./B.S.) in Statistics, Mathematics, Machine Learning, Physics, or  similar degree</li><li>2+ years of experience in data science in a digitally advanced industry focusing on strategicinitiatives, marketing and/or operations</li><li>Knowledge of the best-in-class analytic software tools and languages  like SQL, Python / R / Matlab / Scala along with  Excel/Tableau/Power BI etc.</li><li>Knowledge in statistical methods, statistical analysis, data visualization, and data mining techniques.</li><li>Proficiency in SQL, Excel (advanced functions &amp; pivots), and Powerpoint.  </li><li>Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems</li><li>Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience</li><li>Strong written and verbal communications skills, as well as presentation skills</li><li> </li></ul>Preferred Requirements:<ul><li>Master's degree preferred</li></ul>Beyond base salary, our comprehensive total rewards package includes: Hybrid work model provides a flexible work/life balance Voluntary Provident Fund is an additional voluntary contribution scheme associated with the statutory Employee Provident Fund (EPF) Our Gift of Knowledge Program provides tuition assistance and substantial discounts for our employees and close family members Comprehensive health benefits new hire eligibility starts on day 1 of employment Generous Paid Time Off includes National holidays(10), Earned leaves(15), sick leave(12), plus one (1) volunteer day to participate and give back to our local communities Gratuity is applicable upon completion of 5 years as per the Gratuity Act We are committed to providing a supportive and rewarding work environment where every employee can thrive. You can learn more about our full benefits package and total rewards philosophy <a href="https://kaplan.com/about/work-with-us/benefits-perks" rel="noopener noreferrer" target="_blank">here.</a> At Kaplan, we believe in attracting, rewarding, and retaining exceptional talent. Our compensation philosophy is designed to be competitive within the market, reflecting the value we place on the skills, experience, and contributions of our employees, while taking into account labor market trends and total rewards. The specific compensation offered will be determined by a variety of factors, including but not limited to the candidate's qualifications, relevant experience, education, skills, and market data.#LI-NJ1LocationBangalore, KA, IndiaAdditional Locations Employee TypeEmployeeJob Functional Area Data Science &amp; AnalyticsBusiness Unit00092 Kaplan HealthDiversity &amp; Inclusion Statement: Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We are an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, veteran status, nationality, or sex. We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities. Learn more about our culture <a href="https://kaplan.com/work-with-us/our-culture/" rel="noopener noreferrer" target="_blank">here</a>.Kaplan considers qualified applicants for employment even if applicants have an arrest or conviction in their background check records. Kaplan complies with related background check regulations, including but not limited to, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.  There are various positions where certain convictions may disqualify applicants, such as those positions requiring interaction with minors, financial records, or other sensitive and/or confidential information.Kaplan is a drug-free workplace and complies with applicable laws. <h4>Experience Level</h4>Mid Level

Kaplan (india) Private Limited

Senior Deep Learning Systems Engineer, DatacentersAs NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. The role of a Deep Learning Systems Engineer would be to analyse the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influence the design and optimization of datacenters.Do you want to influence the development of high-performance Datacenters designed for the future of AI? Do you have an interest in system architecture and performance? In this role you will find how CPU, GPU, networking, and IO relate to deep learning (DL) architectures for Natural Language Processing, Computer Vision, Autonomous Driving and other technologies. Come join our team, and bring your interests to help us optimize our next generation systems and Deep Learning Software Stack.What you'll be doing:<ul><li>Help develop software infrastructure to characterize and analyze a broad range Deep Learning applications</li><li>Evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs).</li><li>Work with experts to help develop analysis and profiling tools in Python, bash and C++ to measure key performance metrics of DL workloads running on Nvidia systems.</li><li>Analyze system and software characteristics of DL applications.</li><li>Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement.</li></ul>What we need to see:<ul><li>A Bachelor’s degree in Electrical Engineering or Computer Science with 8 years or more of relevant experience (Masters or PhD degree preferred)</li><li>Experience in at least one of the following:<ul><li>System Software: Operating Systems (Linux), Compilers, GPU kernels (CUDA), DL Frameworks (PyTorch, TensorFlow).</li><li>Silicon Architecture and Performance Modeling/Analysis: CPU, GPU, Memory or Network Architecture</li></ul></li><li>Experience programming in C/C++ and Python. Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm) is a plus.</li><li>A deep understanding of computer system architecture and performance analysis is essential for success in this role. Applicants should have demonstrated hands-on experience in these domains.</li><li>Demonstrated ability to work in virtual environments, and a strong drive to own tasks from beginning to end. Prior experience with such environments will make you stand out.</li></ul>Ways to stand out from the crowd:<ul><li>Background with system software, Operating system intrinsics, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow).</li><li>Experience with silicon performance monitoring or profiling tools (e.g. perf, gprof, nvidia-smi, dcgm).</li><li>In depth performance modeling experience in any one of CPU, GPU, Memory or Network Architecture</li><li>Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm).</li><li>Prior experience with multi-site teams or multi-functional teams.</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!#LI-Hybrid<h4>Experience Level</h4>Senior Level

Nvidia Graphics Pvt Ltd

Data Analytics - Alteryx - AssociateAre you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Data Analytics team to partner with the Business. As a Data Analytics Specialist within our team, you will leverage your expertise in SQL, Alteryx, and Tableau to derive meaningful insights from complex datasets. You will work closely with stakeholders to understand their data challenges and provide solutions. You will be responsible for extracting data from diverse sources, integrating them, and generating actionable insights. Additionally, you will act as a product owner in setting up data infrastructure for reporting and collaborate within a Scrum team.Job responsibilities<ul><li>Analyze and interpret complex datasets using SQL and Alteryx to uncover insights and trends.</li><li>Create tactical dashboards on Tableau if demands are such.</li><li>Collaborate with business users to gather requirements and translate them into technical solutions.</li><li>Extract, transform, and integrate data from disparate sources to create comprehensive datasets for analysis.</li><li>Develop and maintain analytical models and reports that provide actionable insights to business stakeholders.</li><li>Ensure data accuracy and integrity through rigorous validation and testing processes.</li><li>Provide insights and recommendations based on data analysis to support business decision-making.</li><li>Manage stakeholder relationships effectively, ensuring their data needs are met and expectations are aligned.</li><li>Act as a product owner in setting up and enhancing data infrastructure for reporting purposes.</li><li>Participate actively in a Scrum team to contribute to project goals and deliverables.</li><li>Work with data engineers and IT teams to ensure seamless data integration and availability and troubleshoot and resolve any issues related to data extraction, transformation, and analysis.</li></ul>Required qualifications, capabilities and skills<ul><li>Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.</li><li>Proven experience in data analytics, with a strong proficiency in SQL and Alteryx.</li><li>Experience with Tableau for data visualization and reporting.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and interpersonal skills to work effectively with cross-functional teams and manage stakeholders.</li><li>Experience working within a Scrum team.</li><li>Ability to manage multiple projects and priorities in a fast-paced environment.</li></ul>Preferred qualifications, capabilities and skills<ul><li>Experience with other data visualization tools (e.g., Power BI, QlikView) is a plus.</li><li>Knowledge of data warehousing concepts and data modeling is a plus.</li><li>Familiarity with programming languages such as Python or R.</li><li>Certification in data analytics or related fields.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

IN_Senior Associate_GCP_Data and Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learan more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Job Accountabilities - Hands on Experience in GCP Data Components (BigQuery / Data fusion / Cloudsql etc) - Data Lake and Data Warehouse Understanding - Manage DevOps lifecycle of project (Code Repository, Build, Release) - Good to have - end to end BI Landscape knowledge - Participate in unit and integration testing - Interaction with business users for Requirement understanding and UAT - Understanding of Data Security and Data Compliance - Agile Understanding - Project Documentation Understanding - Good SQL Knowledge - Certification (Good to have) - Domain Knowledge of Different Industry SectorMandatory skill sets:GCP, Data Lake &amp; Date WarehousePreferred skill sets:GCPYears of experience required:4 to 7 yearsEducation qualification:Graduate Engineer or Management GraduateEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData Warehousing (DW)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate

Senior Manager, Data Science<h4>Overview</h4>Working at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.<h4>Responsibilities</h4>Atlassian seeks a Senior Manager to lead a high-performing Data Scientists/Analysts team that supports the Data Center suite of products and critical initiatives around them. The team provides insights from customer friction to help influence enhancements in Atlassian products, engineering, tools, and supportability to deliver high-quality customer experiences. The Senior Manager and the team are also responsible for innovative analytics solutions and data-driven process changes that help increase the efficiency of Engineers, Product and Design in the organization. The ideal candidate will be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with solid commercial awareness, who is comfortable with ambiguity and complexity, and has experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader. With demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.ResponsibilitiesIn this role, you will:<ul><li>Lead a team of 10+ data scientists focused on deriving insights from customer friction to influence Atlassian products, engineering, tools, and process enhancements.</li><li>Be a people manager with experience in data science, analytics, applied statistics, a related quantitative field, and deep data engineering knowledge.</li><li>Partner with senior leaders to identify business opportunities and build Indicators.</li><li>Partner with multiple teams to lead transformative projects and make an impact.</li><li>Build shared vision, empower the team, and deliver high-quality outcomes.</li><li>Create intuitive analytics insights, build data science solutions, and measure the impact.</li><li>Manage roadmaps, sprint planning, partner engagement, and remove blockers when needed.</li><li>Advocate team's work and coach data storytelling.</li></ul> Qualifications<ul><li>10+ years of experience in data analytics and data science field</li><li>7+ years of experience as a people manager</li><li>Success at managing global and remote teams</li><li>Success at building a culture of data-informed decision-making, fast learning, and new ideas</li><li>Strong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentation</li><li>Experience applying advanced analytics knowledge to the real world</li><li>Roadmap planning, sprint planning, and project management skills</li></ul><h4>Qualifications</h4>Benefits &amp; PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.<h4>Experience Level</h4>Senior Level

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