Job Description

At eBay, we're more than a global ecommerce leader -- we'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'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 -- 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 -- and help us connect people and build communities to create economic opportunity for all.


Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you're interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay - a company you can be proud to be with.

Role Overview:

The India Analytics Center is responsible for delivering business insights and high impact analyses to the Product and Business teams within eBay. The team addresses strategic and operational questions facing the business including user behavior, performance measurement, and product and marketing efficiency.


We are currently looking for an

Associate Analytics Manager

to join us. We are looking for a versatile and experienced Data & Business Intelligence Analyst to join our growing analytics team. This role will be pivotal in bridging the gap between raw data and actionable business insights. You will be responsible for building and maintaining data pipelines, developing robust BI solutions, and leveraging your programming skills to automate processes and perform advanced analysis. You will collaborate closely with stakeholders to understand their data needs and deliver impactful solutions that drive data-driven decision-making.

Primary Job Responsibilities

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Data Engineering & Pipeline Development: Design, build, and maintain scalable and reliable data pipelines using Python and related technologies to extract, transform, and load (ETL) data from various sources. Data Modeling & Warehousing: Participate in the design and implementation of data models and data warehousing solutions to ensure efficient data storage and retrieval for analytical purposes. Business Intelligence Development: Develop and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Tableau, Power BI, Looker) to monitor key business metrics and provide actionable insights. Python for Data Analysis & Automation: Utilize Python and relevant libraries (e.g., Pandas, NumPy, SciPy) to perform in-depth data analysis, statistical modeling, and automate reporting and data processing tasks. Requirements Gathering & Stakeholder Collaboration: Work closely with business stakeholders to understand their data and reporting requirements and translate them into technical specifications. Data Quality & Governance: Implement and monitor data quality processes to ensure accuracy, consistency, and integrity of data used for analysis and reporting. Adhere to data governance policies. Performance Optimization: Identify and implement optimizations to data pipelines and BI solutions to improve performance and efficiency. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for data pipelines, BI solutions, and analytical processes. Share knowledge and best practices with the team. Ad-hoc Analysis & Problem Solving: Conduct ad-hoc data analysis to answer specific business questions and troubleshoot data-related issues.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. 4-7 years of hands-on experience in a data-focused role with significant responsibilities in data engineering, business intelligence, and utilizing Python for data tasks. Product development exposure: Experience working on analytics or data products throughout the product lifecycle -- from requirements to delivery. Knowledge of Python and relevant data manipulation and analysis libraries (e.g., Pandas, NumPy). Experience with libraries for data visualization (e.g., Matplotlib, Seaborn) is a plus. Solid understanding of relational databases (e.g., SQL Server, PostgreSQL, MySQL) and excellent SQL skills for data querying and manipulation. Experience designing, building, and maintaining ETL pipelines. Proven ability to develop compelling and insightful data visualizations using BI tools such as Tableau, Power BI, or Looker (specify preferred tool if applicable). Proven ability to support and improve analytical products that drive business decisions Familiarity with data warehousing concepts and different data modeling techniques. Strong analytical and problem-solving skills with the ability to work with complex datasets. Good communication and collaboration skills. Experience with version control systems (e.g., Git) is a plus.

Benefits are an essential part of your total compensation for the work you do every day. Whether you're single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.


Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn't just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay's Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/


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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