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consultant data science Jobs in Mangaluru India

consultant data science

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senior data scientist Jobs in Mangaluru India

senior data scientist

analyst

data analyst

AstraZeneca

<div>
 
 Title: Associate - Data Analyst
 
 
 
 <ul>
 <li>
 Work Location: Manyata Tech Park, Bangalore, India
 </li>
 <li>
 Work Schedule: Three days on-site, two days remote (3/2)
 </li>
 <li>
 Work Hours: 9 am to 6 pm IST or 2 pm to 11 pm IST basis business needs (Transport available as per company policy)
 </li>
 <li>
 Career Level: C2 - Individual Contributor
 </li>
 <li>
 Total Years of Experience: 3 to 6 years
 
 
 </li>
 </ul>
 
 Role Summary
 
 
 
 As an Associate Data Analyst, you will be at the forefront of driving operational excellence and technical proficiency in data management for the US BBU. You will facilitate effective communication and streamline issue resolution. This involves translating complex business needs into actionable data solutions that enhance decision-making and operational efficiency.
 
 
 Your expertise in data management will be key in guiding the development and deployment of innovative data products. You'll leverage your analytical skills to provide insightful analyses that influence business strategy. By fostering a collaborative environment, you'll work closely with cross-functional teams to implement user-centric design approaches and agile methodologies, ensuring data products meet the evolving needs of the business. Your proactive approach will help the organization stay at the cutting edge of industry trends and best practices.
 
 
 Your ability to interpret complex data and deliver clear, actionable insights will establish you as a valuable partner in driving business transformation. By embedding a strategic mindset and fostering stakeholder engagement, you'll ensure the data products not only meet but exceed user expectations.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Provide operational and technical support for US BBU data management activities &ndash; data quality management, business process workflows and data management needs for downstream applications and tools.
 </li>
 <li>
 Provide appropriate operational troubleshoot and triaging related to data processing, business user queries, data investigation and ad-hoc analytics
 </li>
 <li>
 Perform data validation, reconciliation, and basic ad-hoc analyses to support business teams.
 </li>
 <li>
 Act as a liaison between Commercial/Medical stakeholders and IT for escalations and issue resolution.
 </li>
 <li>
 Assist in managing access, user roles, and updates across platforms like Sharp.
 
 
 </li>
 </ul>
 
 Essential For The Role
 
 
 
 <ul>
 <li>
 Quantitative bachelor&rsquo;s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science.
 </li>
 <li>
 Proficient in PBI, PowerApps [development &amp; troubleshooting], SQL, Python, Databricks, and AWS S3 operations.
 </li>
 <li>
 Strong understanding of data governance, privacy standards, and operational best practices.
 </li>
 <li>
 Excellent communication and influencing skills with demonstrated ability to develop and effectively
 </li>
 <li>
 Experience working in a business support or operational data management environment.
 </li>
 <li>
 Define and document detailed user stories, acceptance criteria, and non-functional requirements for the data products.
 </li>
 <li>
 Advocate for a user-centric design approach, ensuring that the data products are intuitive, accessible, and meet the needs of the target users.
 </li>
 <li>
 Collaborate with the development team to plan and execute agile sprints, ensuring timely delivery of high-quality features.
 </li>
 <li>
 Present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Exposure &amp; Understanding (any 7): ELAAD, APLD, HCP Segmentation, Targeting (Call plan), Alignment, SFO Structuring &amp; Sizing, HCP Campaign - Digital Promotion &amp; Measurement, Xponant data (sales data - Rx data), HCP Specialty Management Data, (DDD MD), Call Activity, Fingertip/Formulary (Plan PBM lives data)
 
 
 </li>
 </ul>
 
 Desirable To Have (any 3)
 
 
 
 <ul>
 <li>
 Knowledge of AZ brand and Science
 </li>
 <li>
 Experience of working with multiple 3rd party providers, including information technology partners
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Understanding of US BBU commercial and medical business functions
 </li>
 <li>
 Experience with Sharp [Internal AZ platform] administration, Power Apps development or troubleshooting.
 
 
 </li>
 </ul>
 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 AstraZeneca offers an environment where diverse cultures and perspectives come together to create a sense of belonging. Here you'll find opportunities to learn and grow alongside a team committed to transforming processes through simplification and automation. Our innovative approach ensures that data is at the heart of everything we do. As part of our journey of growth and evolution, you'll contribute to making AstraZeneca more agile and efficient while impacting society positively.
 
 
 Ready to take the next step? Apply now to join our dynamic team!
 
 
 
 Date Posted
 
 
 
 16-Dec-2025
 
 
 
 Closing Date
 
 
 
 30-Dec-2025
 
 
 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
</div>

Associate - Data Analyst

MakeMyTrip

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Reporting: Design and maintain complex MIS reports (DWM) using advanced logic, ensuring data translates into actionable business intelligence.
 </li>
 <li>
 Visualization &amp; Storytelling: Create intuitive dashboards and visual representations of data (using Excel or BI tools) to help non-technical stakeholders understand the numbers at a glance.
 </li>
 <li>
 Process Automation: Proactively identify repetitive manual tasks and minimize turnaround time using Macros/VBA or advanced formula logic.
 </li>
 <li>
 Data Integrity &amp; Management: Act as the gatekeeper of data quality, performing deep-dive reconciliation and validation before publishing numbers.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL .
 </li>
 <li>
 Advanced Excel (Pivot tables, charts, formulas, etc.).
 </li>
 <li>
 Experience with BI/Visualization tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with large datasets and derive actionable insights.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field.
 </li>
 <li>
 Experience in MIS reporting, dashboard creation, or business analytics.
 </li>
 <li>
 Knowledge of Python/R (optional but good to have).
 </li>
 </ul>
</div>

Data Analyst

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Description Summary:
 
 
 This job manages technical projects from inception to completion, ensuring alignment with organizational goals and objectives. The Project Manager coordinates engineering, technical, and procurement activities, manages project risks and issues, and communicates project status to stakeholders.
 
 
 
 Job Description:
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Manage technical projects from inception to completion
 </li>
 <li>
 Ensure alignment with organizational goals and objectives
 </li>
 <li>
 Coordinate engineering, technical, and procurement activities
 </li>
 <li>
 Identify and mitigate project risks and issues
 </li>
 <li>
 Communicate project status to stakeholders and senior management
 </li>
 <li>
 Ensure compliance with engineering standards and regulatory requirements
 
 
 
 </li>
 </ul>
 
 Expected Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
 
 </li>
 </ul>
 
 Additional Responsibilities And Preferred Qualifications
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Database programming &ndash; Stored Procedures preferred in SAP HANA
 </li>
 <li>
 Alteryx
 </li>
 <li>
 SAP FPSL &ndash; Nice to know
 </li>
 <li>
 Python
 </li>
 <li>
 Exposure to AI/ML
 
 
 
 </li>
 </ul>
 
 Job Duties and Responsibilities include:
 
 
 
 <ul>
 <li>
 Interpret business requirement and translate them into technical requirements
 </li>
 <li>
 Ability to write complex SQL stored procedures, views, functions, strong performance tuning
 </li>
 <li>
 Understanding of various data sets related to payment and finance
 </li>
 <li>
 Experience working in ETL and data warehouse environments
 </li>
 <li>
 Excel VBA skills
 </li>
 <li>
 Strong analytical skills, critical thinking capabilities, and in-depth understanding of data.
 </li>
 <li>
 Ability to collaborate with business users and engineers, brainstorm and strategize the &ldquo;right&rdquo; solution.
 </li>
 <li>
 Initiate and document the requirements and associate functional specifications.
 </li>
 <li>
 Understand impact of various projects and products have on the financial application and associated requirements.
 </li>
 <li>
 Review and resolve production defect issues for business users.
 </li>
 <li>
 Ability to work on projects to create automation of the recurring processes
 </li>
 <li>
 Strong understanding of dashboards, BI reports and its functionality
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 3+ years of SAP and analytics experience in payment industry, financial services and/or management consulting firms
 </li>
 <li>
 Rotational 24x7 on-call support
 </li>
 <li>
 US time zone (Central) overlapping, preferred work hours 4pm to 1am IST
 </li>
 <li>
 Experience writing stored procedures in SAP HANA or similar
 </li>
 <li>
 Experience in ETL, Datawarehouse or BI
 </li>
 <li>
 Advanced Microsoft excel, SQL and Business Objects skills
 </li>
 <li>
 Should have experience working in operations environment
 
 
 
 </li>
 </ul>
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
 
 
 We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
 
 
 
 Who We Are:
 
 
 
 To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
 
 
 REQ ID R0133144
</div>

sugar.fit

<div>
 
 
 About the job
 
 
 
 
 
 
 Founded in 2021, Sugarfit provides a &ldquo;Personalized evidence-based path to Type 2 and
 
 
 Pre-Diabetes Reversal &amp; management&rdquo;. Sugarfit leverages a precision health platform
 
 
 combining CGM sensors, Machine Learning, and Medical Science to improve human
 
 
 metabolic health and reverse chronic disease through precision nutrition, progressive fitness
 
 
 and behavioral health advice.
 
 
 
 
 
 We are eager to leverage the power of technology to help people live normal lives. We are
 
 
 looking for true-blue product folks who are passionate about solving problems using
 
 
 technology and are eager to work in an early stage startup to join our team. If you are
 
 
 passionate about, and have experience building platform products in the domain of health,
 
 
 fitness, mobile and data, we would love to talk to you.
 
 
 
 
 
 
 
 
 Sugarfit is expanding rapidly across different cities of India and we are looking for
 
 
 experienced Senior Data Analysts to join our team.
 
 
 
 
 
 
 Role: Senior Data Analys
 
 t
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 ● Work independently to analyze large datasets and provide actionable insights to
 
 
 drive business decisions.Write and optimize complex SQL queries to extract,
 
 
 transform, and manipulate data efficiently (Non-negotiable)
 
 
 
 
 
 ● Develop and maintain Python scripts for data analysis, automation, and visualization.
 
 
 
 
 
 ● Use Excel (including advanced formulas, pivot tables, and macros) for quick ad-hoc
 
 
 analysis and reporting.
 
 
 
 
 
 ● Collaborate with business stakeholders to understand data requirements and
 
 
 translate them into meaningful reports and dashboards.Identify trends, anomalies,
 
 
 and patterns in data, providing recommendations for process improvements.
 
 
 
 
 
 ● Strong understanding of product, business, marketing metricsPresent findings clearly
 
 
 to both technical and non-technical audiences, facilitating data-driven
 
 
 decision-making.
 
 
 
 
 
 
 Qualifications &amp; Skills:
 
 
 
 ● 4-5 years of experience in a data analytics role.Strong expertise in SQL (complex
 
 
 queries, optimization, indexing, joins, CTEs, window functions, etc.)
 
 
 
 
 
 ● Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, or similar
 
 
 libraries).Advanced Excel skills, including pivot tables, lookup functions, and
 
 
 automation.
 
 
 
 
 
 ● Experience working with large datasets, relational databases, and ETL
 
 
 processes.Strong business acumen with the ability to engage in meaningful
 
 
 discussions with stakeholders.
 
 
 
 
 
 ● Ability to work independently, take ownership, and drive projects
 
 
 end-to-end.Excellent communication skills to present insights and influence
 
 
 decision-making.
 
 
 
 
 
 ● Experience with BI tools (Tableau, Power BI, Looker, etc.) is a plus.
 
</div>

Senior Data Analyst

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 As a Staff Forecasting &amp; Data Analyst, you will lead the analytical and modeling efforts that inform long-term workforce strategy and investment decisions. This role sits at the intersection of data science, business strategy, and operational planning, blending quantitative rigor with strategic foresight to align the deployment of human and financial resources with the Trust&rsquo;s competitive strategy, efficiency plans, and budget.
 
 
 You&rsquo;ll partner cross-functionally with Operations, Product, Data Science, Finance, and Engineering to design forecasting frameworks that anticipate change&mdash;whether driven by product innovation, policy shifts, or market dynamics&mdash;and translate those insights into actionable workforce strategies.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Own long-range forecasting models that project volume, capacity, and productivity across Trust lines of business.Maintain quarterly cross-correlation analysis tied to company growth and cross-functional initiatives.
 </li>
 <li>
 Analyze historical and emerging trends in product, policy, and user behavior to anticipate operational impact.
 </li>
 <li>
 Develop strategic scenarios that inform resource allocation, efficiency targets, and workforce investments.
 </li>
 <li>
 Partner with cross-functional leaders to align planning assumptions with business priorities, budget constraints, and growth opportunities.
 </li>
 <li>
 Translate data into strategy: distill complex modeling outcomes into clear, actionable recommendations for executives.
 </li>
 <li>
 Design scalable data infrastructure and forecasting tools in partnership with Data Science and Engineering.
 </li>
 <li>
 Automate data integration and updates in operational systems (e.g., NICE IEX, internal data tables).
 </li>
 <li>
 Monitor guardrail metrics (utilization, forecast accuracy, productivity) to ensure sustainable operational health and early detection of risk.
 </li>
 <li>
 Mentor analysts across the Resource Planning team, uplifting the analytical bar and fostering a culture of strategic thinking and data excellence.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Business, Statistics, Operations Management, Economics, or related field.
 </li>
 <li>
 8+ years of experience in forecasting, workforce planning, or predictive analytics within large-scale, global operations.
 </li>
 <li>
 Expertise in forecast modeling techniques (e.g., time-series, regression, scenario simulation) using SQL, Python, R, or similar tools.
 </li>
 <li>
 Background in business fundamentals with the ability to connect data insights to strategic decisions and operational levers.
 </li>
 <li>
 Proven ability to simplify complex systems, identify leading indicators, and communicate implications clearly to executives.
 </li>
 <li>
 Experience collaborating across Product, Finance, Data Science, and Operations organizations.
 </li>
 <li>
 Exceptional communication and storytelling skills with an ability to influence at senior levels.
 </li>
 <li>
 A passion for efficiency, scalability, and sustainable growth.
 </li>
 <li>
 Good communication skills to collaborate with cross-functional teams and present business insights effectively.
 </li>
 <li>
 Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
 </li>
 <li>
 Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
 </li>
 <li>
 Flexibility and adaptability to respond to changing business needs and priorities.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Strong predictive analytical and strategic thinking skills with experience in long-range forecasting and scenario planning.
 </li>
 <li>
 Ability to translate complex data into clear business insights and executive recommendations.
 </li>
 <li>
 Skilled at identifying trends, risks, and opportunities that inform workforce and investment strategies
 </li>
 <li>
 Proficient in SQL, Excel, and Power BI, Tableau; working knowledge of Python or R for statistical analysis and automation.
 </li>
 <li>
 5+ years of experience in forecasting methodologies (time-series, regression, simulation).
 </li>
 <li>
 Comfortable working with large data sets and partnering with Data Science and Engineering on model design.
 </li>
 <li>
 Excellent communication, influence, and storytelling skills for senior audiences.
 </li>
 <li>
 Passion for simplification, scalability, and continuous improvement.
 </li>
 <li>
 Kafka
 </li>
 <li>
 GitHub Knowledge
 </li>
 <li>
 Experience with workforce management software and tools
 </li>
 <li>
 Knowledge of workforce management principles, operations, and industry best practices.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Data Analytics &amp; Automation
 </li>
 <li>
 Statistical &amp; Quantitative Analysis
 </li>
 <li>
 Forecasting Modeling &amp; Techniques
 </li>
 <li>
 Communication &amp; Storytelling
 </li>
 <li>
 Decision Support &amp; Problem Solving
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture:
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Forecasting & Data Analyst

Levi Strauss & Co.

<div>
 Calling all originals: At Levi Strauss &amp; Co., you can be yourself &mdash; and be part of something bigger. We&rsquo;re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit &mdash; and your future.
 
 
 The
 
 Data Management Analyst
 
 will play a critical role in strengthening the foundation of Levi Strauss &amp; Co.&rsquo;s global product data ecosystem. This role will focus on
 
 data management, cleansing, and enrichment
 
 activities across
 
 item setup, product hierarchy, and master data governance
 
 . The analyst will ensure that data is accurate, consistent, and aligned across global and regional (cluster) systems to enable better decision-making and accelerate key business strategies related to
 
 lifecycle management, pricing, and product architecture
 
 .
 
 
 This is a high-impact role that supports both day-to-day operational excellence and the long-term transformation of our product data landscape.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Management &amp; Cleansing: Execute data cleanup, validation, and enrichment activities to ensure accuracy and completeness across global and cluster-level product data.
 </li>
 <li>
 Item Setup &amp; Product Hierarchy: Support the creation, maintenance, and optimization of product hierarchies and item master data to improve data quality, traceability, and consistency.
 </li>
 <li>
 Data Governance: Collaborate with global and regional data governance teams to define and enforce data standards, naming conventions, and business rules.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with Merchandising, Planning, IT, and Analytics teams to ensure alignment of product data structures and to resolve discrepancies quickly.
 </li>
 <li>
 Process Improvement: Identify gaps, propose process enhancements, and help standardize workflows to improve the efficiency and reliability of product data management.
 </li>
 <li>
 Reporting &amp; Insights: Generate reports and dashboards that track data quality metrics, highlight issues, and measure progress against cleanup objectives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Business, Information Systems, Data Management, or a related field.
 </li>
 <li>
 Experience: 2&ndash;4 years of experience in product master data management, data operations, or related analytics roles (preferably in retail, apparel, or consumer goods).
 </li>
 <li>
 Strong understanding of product hierarchies, SKU/item setup, and data governance principles.
 </li>
 <li>
 Hands-on experience with ERP / PIM / PLM systems (e.g., SAP, Informatica, Stibo, etc.)
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Excellent communication and collaboration skills to work across global and regional teams.
 
 
 </li>
 </ul>
 
 Why This Role Matters
 
 
 
 This role is essential in driving global alignment and consistency in how we manage product data &mdash; a foundational enabler for Levi Strauss &amp; Co.&rsquo;s transformation in lifecycle management, pricing strategies, and product architecture. By ensuring clean, structured, and reliable data, the Data Management Analyst helps unlock insights and accelerate our ability to deliver the right products to the right markets faster and smarter.
 
 
 
 Benefits
 
 
 
 We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.
 
 
 
 Here's a Small Snapshot
 
 
 
 <ul>
 <li>
 Complimentary preventive health check-up for you &amp; your spouse
 </li>
 <li>
 OPD coverage
 </li>
 <li>
 Best in class leave plan including paternity &amp; family care leaves
 </li>
 <li>
 Counselling sessions to prioritize mental well-being
 </li>
 <li>
 Exclusive discount vouchers on Levi's products
 
 
 </li>
 </ul>
 We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request. 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.
 
 
 
 LOCATION
 
 
 
 India, Bangalore - Office
 
 
 
 FULL TIME/PART TIME
 
 
 
 Full time
 
 
 
 Current LS&amp;Co Employees, apply via your Workday account.
 
</div>

Data Management Analyst

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze eBay&rsquo;s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
 </li>
 <li>
 Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
 </li>
 <li>
 Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
 </li>
 <li>
 Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
 </li>
 <li>
 Develop strategies for channel optimization and content strategy.
 </li>
 <li>
 Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.
 </li>
 <li>
 Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
 </li>
 <li>
 Provide data support for business operation, design self-service tools, dashboards etc.
 </li>
 <li>
 Communicate business performance in a clear and insightful way to the business.
 </li>
 <li>
 Develop, improve and systemize crisp &amp; accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.
 </li>
 <li>
 Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products.
 
 
 
 </li>
 </ul>
 
 Job Skills Required
 
 
 
 <ul>
 <li>
 Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
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 A passion for understanding and serving the unique community of eBay.
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 Sound business judgment and quantitative analytic ability.
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 Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.
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 Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.
 </li>
 <li>
 Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.
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 <li>
 Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.
 
 
 
 </li>
 </ul>
 
 Desired Qualifications
 
 
 
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 <li>
 BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.
 </li>
 <li>
 5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
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 Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.
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 Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
 </li>
 <li>
 Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
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Data Science Analyst, Paid Marketing

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