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Analytics ConsultantAbout this role:Wells Fargo is seeking a Analytics Consultant In this role, you will:<ul><li>Consult with business line and enterprise functions on less complex research</li><li>Use functional knowledge to assist in non-model quantitative tools that support strategic decision making</li><li>Perform analysis of findings and trends using statistical analysis and document process</li><li>Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance</li><li>Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency</li><li>Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing</li><li>Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff</li><li>Understand compliance and risk management requirements for supported area</li><li>Ensure adherence to data management or data governance regulations and policies</li><li>Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals</li><li>Collaborate and consult with more experienced consultants and with partners in technology and other business groups</li></ul> Required Qualifications:<ul><li>2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> Required Qualifications for Europe, Middle East &amp; Africa only:<ul><li>Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> Desired Qualifications:<ul></ul> Job Expectations:<ul></ul>Posting End Date: 4 Nov 2025*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Wells Fargo India Solutions Pvt Ltd

Business Intelligence Analyst

Cloud Data Science Engineer Senior<h4> Company:</h4>Qualcomm India Private Limited<h4>Job Area:</h4>Engineering Group, Engineering Group &gt; Software EngineeringGeneral Summary:Data Analytics group is responsible for developing, maintaining, and operating automated on-premises and cloud-based solutions for big data pre-labelling, analysis, and visualization. These solutions are utilized by various teams leveraging a diverse technology stack. Team Enrichment, where this position is based, focuses on automated data labelling from our extensive global fleet and creates analytic solutions to address multiple use cases. To enhance our capabilities further, we are seeking a motivated Software Engineer with strong expertise in software engineering and cloud technologies for our Bangalore, India location.Key Responsibilities:· Develop and maintain comprehensive end-to-end data autolabelling pipelines.· Design and implement toolchains for the automatic identification of critical scenarios.· Enhance existing frameworks for statistical scenario analysis, supporting safety aspects related to Autonomous Driving (AD).· Apply creative problem-solving to design new modules that uncover previously unidentified data insights.· Collaborate within a highly motivated, international team that utilizes SAFe as the primary Agile framework for coordinationMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.· Minimum of 2 to5 years experience in software engineering with substantial exposure to data science and/or data engineering within an industrial context.· Demonstrated experience with cloud platforms such as AWS or Azure.· Several years of experience writing clean, well-documented, reusable Python code.· Solid understanding of standard software development processes, such as code reviews, unit testing, and CI/CD.· Strong analytical, problem-solving, debugging, and optimization abilities.· Experience with cloud-native tools such as API gateways and serverless components· Hands on experience with IAC: CloudFormation, Terraform· Knowledge of SQL and NoSQL databases· Skilled in big data tools including Spark, Hive, Presto, Iceberg, notebooks, and dashboards.· Master’s degree or higher in Computer Science, Data Science, Mathematics, or a related field.Good To Have:· Experience in ADAS/Autonomous Driving sensor software development and testing<div></div>Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail <a href="mailto:disability-accomodations@qualcomm.com" target="_blank">disability-accomodations@qualcomm.com</a> or call Qualcomm's toll-free number found <a href="https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&amp;sysparm_article=KB0039028" target="_blank">here</a>. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact <a href="http://www.qualcomm.com/contact/corporate" target="_blank">Qualcomm Careers</a>.

Qualcomm India Private Limited

Cloud Automation Engineer

Product Data Scientist, Google Play Games<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with 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>5 years of experience working in a complex, matrixed organization.</li><li>5 years of experience preparing and delivering technical presentations to executive leadership.</li><li>3 years of experience in mobile advertising analytics.</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.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play. </li><li>Partner with Games Data Science and Product Strategy team members, Play Games Product Management (PM), Engineering (Eng), Product Marketing Management (PMM), User Experience (UX) and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences. </li><li>Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games. </li><li>Develop a comprehensive understanding of the gaming industry.</li><li>Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using Plx tools.</li></ul><h4>Experience Level</h4>Mid Level

Google India Pvt Ltd

Associate Product Manager

Data Science and AI/ML Developer - AssociateYou are a strategic thinker passionate about driving solutions in Data Science and AI/ML Developer. You have found the right team.As a Data Science and AI/ML Developer – Associate in our Transformation and Analytics, you will spend each day defining, refining and delivering set goals for our firm.Job Responsibilities:<ul><li>Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client requirements and drive transformation.</li><li>Scope, prioritize, and coordinate activities with product owners; partner with product teams to identify strategic solutions.</li><li>Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance decision-making and improve workflow efficiency across investment functions, client services, and operational processes.</li><li>Design and implement LLM projects using GPT models, ensuring alignment with business objectives.</li><li>Utilize Data Bricks and AWS infrastructure to build, deploy, and scale machine learning models in production environments.</li><li>Collect and curate datasets for model training and evaluation, ensuring data quality and integrity through effective validation and testing processes.</li><li>Perform experiments using different model architectures and hyperparameters; determine appropriate objective functions and evaluation metrics; run statistical analysis of results.</li><li>Demonstrate proficiency in visualization and storytelling to create impactful business insights.</li><li>Monitor and improve model performance through feedback and active learning. Deliver written, visual, and oral presentations of modeling results to business and technical stakeholders.</li><li>Stay up-to-date with the latest research in LLM, ML, and data science, identifying and leveraging emerging techniques for ongoing enhancement.</li><li>Transform model outputs into formats understandable to end users through visualization, clear tables, and thoughtful presentations; assist technical and non-technical users in leveraging and interpreting the analysis.</li></ul>Required qualifications, capabilities and skills<ul><li>Self-starter, attention to details and results orientated, able to work under minimal guidance.</li><li>Uses pertinent data and facts to identify and solve a range of problems within area of expertise.</li><li>Proficiency in Python, R, and machine learning frameworks like TensorFlow or PyTorch is essential.</li><li>Having mandatory experience in Statistics  along with  Exploratory and regression data analysis</li><li>Strong proficiency in LLM,  concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based  agents. Proficient in building evaluation metrics.</li><li>Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and  Claude models, </li><li>Experience in  model development using Machine Learning techniques [Data Analysis /Model Tuning].</li><li>Bachelor’s Degree in, Data science, Computer Science, or Engineering.  Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable. </li><li>Experience Required: 5+ years in Data related projects and 3+ years in Data Science/AI</li><li>Good communication and analytical skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Exposure for  complex ETL development is an added advantage.</li><li>Knowledge on CI/CD pipelines. </li><li>Preferred data querying  skills on  SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)</li><li>Exposure to low-code BI tools like Alteryx and Tableau.</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>Mid Level

JP Morgan Services India Pvt Ltd

Data Scientist

I&F Decision Sci Practitioner Sr AnalystSkill required: Delivery - Data Analytics Designation: I&amp;F Decision Sci Practitioner Sr Analyst Qualifications:BSc/MSc Years of Experience:5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
A Data Scientist is a professional who analyzes and interprets complex data to help organizations make informed decisions. They use statistical methods, algorithms, and machine learning to extract insights, identify trends, and solve problems. Their work involves data collection, cleaning, modeling, and visualization.
Analyze, inspect, clean, transform, and model data. What are we looking for? • 1+ year of experience in Data Analytics
• Knowledge on Wealth/Wholesale Banking domain
• SQL (Structured Query Language)/ SAS code development (SAS Enterprise Guide)
• Snowflake
• Tableau/Power BI/Sigma
• Matillion
• Python
• Passion to learn and quickly upskill on Technologies and Good team player
• Self-learning capabilities
• Adaptable flexible and problem-solving skills
• Good communication, analytical and presentation skill Roles and Responsibilities: • Designing BAU and Adhoc Reports/Dashboard using tools like SAS, Tableau, PowerBI, etc
• To take ownership of the reports and deliver BAU reports on high priority
• Automate and Document reports, dashboards, and data dictionaries
• Create data pipelines and schedule ETL workflows
• Stakeholder interaction and requirement gathering

Accenture India Private Limited

Application LeadProject Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project goals are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning and decision-making processes to enhance application performance and user experience, ensuring that all stakeholders are aligned with the project objectives.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to foster their professional growth.
- Continuously assess and improve application performance and user satisfaction.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Strong understanding of data integration and ETL processes.
- Experience with cloud computing platforms and services.
- Familiarity with data governance and compliance standards.
- Ability to analyze and optimize application performance.
 
Additional Information: 
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Chennai office.
- A 15 years full time education is required.

Data Engineer

Data Engineer <ul><li>Required Expertise: Azure Databricks, PySpark, SQL</li><li>Experience: 5+ Years ONLY</li><li>Availability: Immediate to 45 days</li></ul> Share your updated resume now.

Infocepts Technologies Pvt Ltd

Analytics PractitionerProject Role : Analytics Practitioner Project Role Description : Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills : Python (Programming Language), Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As an Analytics Practitioner, you will engage in developing business insights through predictive statistical modeling activities. Your typical day will involve utilizing various analytical tools and techniques to enhance decision-making processes by modeling client, market, and key performance data. You will work collaboratively with different teams to ensure that the insights generated are actionable and aligned with business objectives, ultimately contributing to the overall success of the organization.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate team performance to ensure alignment with project goals.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Python (Programming Language), Machine Learning.
- Strong understanding of data analysis techniques and methodologies.
- Experience with data manipulation and transformation libraries such as Pandas and NumPy.
- Familiarity with statistical modeling and predictive analytics.
- Ability to communicate complex analytical concepts to non-technical stakeholders.
 
Additional Information: 
- The candidate should have minimum 5 years of experience in Python (Programming Language).
- This position is based at our Pune office.
- A 15 years full time education is required.

Analyst

Data ModelerProject Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and industry standards, facilitating smooth data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.
- Develop and maintain comprehensive documentation of data models and architecture.

 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies mainly data vault 2.0.
- Good To Have Skills: Experience with data governance frameworks, snowflake warehouse/AWS
- Strong understanding of relational and non-relational database systems.
- Familiarity with data warehousing concepts and ETL processes.
- Experience in using data modeling tools such as Erwin or IBM InfoSphere Data Architect.

 
Additional Information: 
- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at any location.
- A 15 years full time education is required.

Analytics and Modeling AnalystSkill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Analyst Qualifications:Any Graduation Years of Experience:3 to 5 About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? The Business Intelligence &amp; Analytics (BI&amp;A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&amp;A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market &amp; Services leadership. The Analytics and Modeling Senior Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. What are we looking for? QUALIFICATIONS• Any graduate degree (or equivalent) required, full time MBA preferred• 4 – 6 years of post-education experience, with at least 4-5 years of relevant experience• Strong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BI• Strong Knowledge of SQL, SSRS, Access, VBA will be highly preferredTOP REQUIRED BEHAVIORS AND SKILLS• Preferably handled projects in the areas of data visualization and analytics• Good understanding of dashboards and scorecards for leadership review • Preferably an expert on MS Excel &amp; Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platforms• Ability to multitask to meet deadlines and quality expectations • Analytical/problem solving skills• Accuracy and attention to detail; prioritizes and plans work activities• Good communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholders• Experience in handling global clients preferred• Willing to go the extra mile for the team when required• Ability to work under minimal supervision and guidance• Willingness to learn and deliver with a positive attitude Roles and Responsibilities: ACCOUNTABILITIESBusiness operations support to Services/ Markets including • Business Intelligence &amp; Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadership• Data Visualization• Reporting &amp; Analytics• Driving adoption of Standard Accenture tools• Working in an agile way – on demand change request, real time support for ad hoc reporting requestsRESPONSIBILITIES• Act as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvements• Provide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysis• Use latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to business• Identify process improvement opportunities to develop effective business solutions• Develop process documentation, communications, and reports required to support leadership• Foster relationships and partner with internal teams, and external business functions to deliver business results • Work with different stakeholders to gain input needed to drive key business discussions /outcomes• Build functional and technical skills foundation• Participate and contribute to regular team discussions and process improvement initiatives• Take responsibility for personal skill development and career management

Senior Analyst

S&C Global Network - AI - Data Strategy –S&C Global Network - AI - Data Strategy – Sr. AnalystThe Sr. Analyst - AI - Data Strategy role at S&C Global Network involves leveraging advanced analytics and machine learning techniques to develop data strategies and provide insights for business decision-making. The role requires expertise in AI, data analysis, statistical modeling, and data visualization. The ideal candidate will have 2-5 years of experience in this field.

I&F Decision Sci Practitioner AnalystSkill required: Delivery - Analytics Insights Designation: I&amp;F Decision Sci Practitioner Analyst Qualifications:Any Graduation Years of Experience:3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We’re Accenture Marketing Operations. We’re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations. 

Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client’s business while accelerating time-to-market and operating efficiently at scale.
We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.
You will be working as part of the Marketing Operations team, collecting, processing, and analyzing consumer and market data to uncover trends and deliver actionable insights that support informed decision-making. This role will involve developing dashboards, scorecards, and recurring reports that clearly communicate findings to stakeholders, while ensuring accuracy, consistency, and reliability through robust QA practices. You will partner with cross-functional teams to align insights with business priorities, optimize reporting processes for efficiency and scalability, and provide both recurring and ad-hoc analyses to guide strategy and execution. You will also be responsible for breaking down the end-to-end process to identify automation/improvement opportunities and create automation / transformation roadmaps. What are we looking for? • 1 to 3 years of work experience in consumer insights, analytics, or data roles (FMCG or research agency preferred)
• Proven track record in data management, extraction, analysis &amp; reporting, and data visualization
• Experience with BI tools (Power BI, Tableau, Looker) and SQL
• Understanding of QA practices, version control, and documentation standards
• Strong storytelling and visualization skills to translate data into actionable insights
• Detail-oriented, with high standards of accuracy and quality
• Proficiency in Microsoft Office Suite and Excel / Sheets
• Ability to communicate findings clearly to diverse stakeholders
• Experience with Askia Explorer, SPSS, or similar platforms
• Knowledge of Python/R (basic familiarity sufficient)
• Experience working with global teams and multi-market stakeholders
• Knowledge of data warehousing, ETL processes, and cloud platforms (e.g., AWS, Azure) is a plus Roles and Responsibilities: • Collecting, processing and analyzing data to identify trends, provide actionable insights and support informed decision-making
• Develop and maintain dashboards, scorecards, and templates that communicate insights effectively to stakeholders
• Gather and clean data from various internal and external sources. Ensure data quality, integrity and accuracy
• Identify consumer trends, market shifts, and emerging signals from multiple data sources
• Manage and validate data inputs to ensure accuracy and consistency across reporting and insights
• Support preparation of recurring and ad-hoc insights reports for management
• Conduct QA checks on datasets, dashboards, and reports to ensure reliability
• Partner with cross-functional teams to align insights with business priorities and decision-making
• Optimize reporting processes and ways of working for efficiency, automation, and scalability
• Stay updated on best practices in analytics, insights, and foresight methodologies

Associate Business Analyst

I&F Decision Sci Practitioner Sr AnalystSkill required: Delivery - Customer Insights Designation: I&amp;F Decision Sci Practitioner Sr Analyst Qualifications:Any Graduation Years of Experience:5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We’re Accenture Marketing Operations. We’re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations. Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client’s business while accelerating time-to-market and operating efficiently at scale. We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.
You will be working as part of the Marketing Operations team, collecting, processing, and analyzing consumer and market data to uncover trends and deliver actionable insights that support informed decision-making. This role will involve developing dashboards, scorecards, and recurring reports that clearly communicate findings to stakeholders, while ensuring accuracy, consistency, and reliability through robust QA practices.
You will partner with cross-functional teams to align insights with business priorities, optimize reporting processes for efficiency and scalability, and provide both recurring and ad-hoc analyses to guide strategy and execution. You will also be responsible for breaking down the end-to-end process to identify automation/improvement opportunities and create automation / transformation roadmaps. What are we looking for? • Primary skillset should be storytelling, data visualization, customer and consumer insight generation
• 3-5 years of experience in consumer insights / analytics, preferably with a MNC or a research agency
• Proven experience in consumer and market research tools (brand tracking, panel/sales, segmentation)
• Strong quantitative and qualitative insights toolkit with the ability to synthesize inputs
• Strong commercial acumen with a deep understanding of consumer needs, attitudes, and behaviors
• Agency/third-party management and stakeholder steering experience
• Excellent communication skills (verbal and written)
• Attention to detail and ability to work in high pressure environment
• Familiarity with BI tools (Power BI/Tableau/Looker) and Askia Explorer (or similar platforms) is a plus
• Knowledge of QA practices, documentation, and version control
• Familiarity with international work environments and English-speaking stakeholders
• Experience applying consumer insights to CRM or digital personalization strategies
• Exposure to advanced analytics tools and emerging data technologies Roles and Responsibilities: • Deliver end-to-end consumer insights: scope briefs, coordinate with data team, ensure data accuracy, and provide decision-ready outputs
• Translate data into clear reports, dashboards, and presentations tailored to stakeholders
• Act as SPOC for Insights requests, prioritizing and managing timely delivery with high quality
• Maintain data hygiene, documentation standards, and track service KPIs
• Support insights strategy and identify opportunities for process improvement
• Build strong cross-functional relationships to align priorities and share knowledge
• Present insights to management, linking findings to strategic and actionable recommendations

EY - GDS Consulting - AI And DATA - AWS/Azure Databricks - Senior At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description for Senior Data Engineer Rank – Senior <ul> <li> Objectives and Purpose <ul> <li> The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. </li> <li> The Senior Data Engineer will: <ul> <li> Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. </li> <li> Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. </li> <li> Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. </li> </ul> </li> </ul> Your key responsibilities <ul> <li> Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. </li> <li> Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. </li> <li> Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. </li> <li> Implement processes and systems to provide accurate and available data to key stakeholders, downstream systems, and business processes. </li> <li> Partner with Business Analysts and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. </li> <li> Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. </li> <li> Mentor and coach junior Data Engineers on data standards and practices, promoting the values of learning and growth. </li> <li> Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. </li> </ul> To qualify for the role, you must have the following: Essential skillsets <ul> <li> Bachelor's degree in engineering, Computer Science, Data Science, or related field </li> <li> 6+ years of experience in software development, data engineering, ETL, and analytics reporting development </li> <li> Experience in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines. </li> <li> Proven track record of designing and implementing complex data solutions </li> <li> Demonstrated understanding and experience using: <ul> <li> Python &amp; PySpark: Ability to write efficient scripts for data transformation, and pipeline orchestration, knowledge of Spark or any distributing frameworks </li> <li> Knowledge of data modelling and data architecture principles </li> <li> Familiarity with event-driven architectures , API -based data sources , data quality validation, archival strategies, and incremental loading. </li> <li> Distributed Data Framework (e.g., Spark). Good understanding of Spark architecture </li> <li> Cloud platform services (AWS / Azure). AWS services (AWS Glue, Lambda, S3 , Stepfunctions) </li> <li> Proficiency in SQL and relational database management systems </li> <li> Optimize and tune database performance, including indexing, query optimization, and storage management. </li> <li> CICD - Terraform or CloudFormation, Jenkins ,Bitbucket : For infrastructure-as-code and deployment automation. </li> <li> Experience with database design concepts: schema definition, normalization, relationships, indexing, constraints. </li> <li> Knowledge of Data lakes, Data warehouses </li> <li> Databricks/Delta Lakehouse architecture </li> <li> Code management platforms like Github/ Gitlab/ etc., </li> </ul> </li> <li> Understanding of database architecture, Data modelling concepts and administration. </li> <li> Handson experience of Spark Structured Streaming for building real-time ETL pipelines. </li> <li> Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases. </li> <li> Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals. </li> <li> Strong organizational skills with the ability to work multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions. </li> <li> Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners </li> <li> Strong problem solving and troubleshooting skills </li> <li> Ability to work in a fast-paced environment and adapt to changing business priorities </li> </ul> Desired skillsets <ul> <li> Master's degree in engineering specialized in Computer Science, Data Science, or related field </li> <li> Experience working with pharma clients, preferably in commercial pharma, marketing and medical affairs </li> <li> Demonstrated understanding and experience using: <ul> <li> Job orchestration tools like Tidal/Airflow/ or similar </li> <li> Knowledge on No SQL </li> </ul> </li> <li> Databricks Certified Data Engineer Associate </li> <li> AWS Certified Data Engineer - Associate </li> </ul> </li> </ul> EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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