eBay is hiring for an fresher entry level Data Analyst role in India

Position:

• Data Operations Analyst (It is similar to Data Analyst role only)

Company:

• eBay Inc.

Location:

• Bengaluru, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• R0068011

Years of experience:

• 0 to 3 years

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Company Description

• eBay is a global ecommerce platform that enables buying and selling in more than 190 markets worldwide.

• The company has a mission to empower individuals, businesses, and communities through economic opportunity.

• It was founded in 1995 and has remained committed to shaping the digital commerce space.

• eBay believes in a culture where authenticity is celebrated and bold ideas are welcomed.

• The company encourages employees to bring their unique selves to work, contributing to a shared goal of innovation and inclusion.

• eBay focuses heavily on community-building, aiming to create strong ecosystems for both buyers and sellers.

• The business operates at an enormous scale, processing millions of transactions daily.

• With deep roots in consumer-to-consumer and business-to-consumer models, eBay connects passionate enthusiasts around the globe.

• eBay is not just about transactions; it promotes sustainability by allowing users to buy and sell pre-owned items.

• The company remains committed to building a better, more accessible ecommerce future for all.

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Profile Overview

• The role of Data Operations Analyst is focused on supporting the Landing Page Data Operations team within eBay.

• This team is a part of the Search Engine Optimization and Landing Page functions.

• The analyst will be responsible for managing and improving the data associated with landing pages used to attract traffic from search engines like Google and Bing.

• These landing pages serve as entry points for billions of dollars in product transactions and require constant optimization.

• You will analyze performance metrics for these pages and collaborate closely with Product and Development teams.

• A key function will be identifying actionable insights from datasets and converting them into recommendations.

• The role demands not just technical proficiency, but also an understanding of ecommerce, user behavior, and marketing trends.

• It blends analytical tasks with the responsibility of ensuring operational consistency and scalability.

• This opportunity suits someone who wants to use their data skills to directly impact how millions of users interact with the eBay platform.

• The work environment promotes learning, curiosity, and the freedom to explore new ways of improving user engagement.

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Qualifications

• A Bachelor's degree in Computer Science, Information Science, or any related technical field is essential.

• You should have strong analytical skills and a proven ability to work with large datasets.

• Prior exposure to data extraction, cleansing, and transformation techniques is highly desirable.

• Experience with A/B testing and familiarity with interpreting test results is important.

• Understanding web analytics platforms and performance metrics is required.

• The ability to draw actionable insights from data and communicate those effectively to stakeholders is critical.

• You must be comfortable working collaboratively in cross-functional teams.

• Precision, attention to detail, and a structured approach to organizing data are key expectations.

• A curious mindset and the willingness to ask questions, investigate patterns, and propose changes are valued.

• Proficiency in SQL and Excel, and ideally some experience with dashboard tools like Tableau or Power BI, is recommended.

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Additional Info

• This role is part of a team responsible for managing organic traffic, which significantly contributes to eBay’s gross merchandise value.

• The platform handles hundreds of millions of live product listings, so decisions made in this role can have wide-reaching effects.

• You’ll be working with a team that thrives on experimentation and rapid testing.

• The position gives you access to both real-time user behavior data and structured backend systems, allowing for robust analysis.

• You will receive guidance from experienced mentors while having the autonomy to explore your own insights.

• The work culture encourages respect, open communication, and the celebration of diverse perspectives.

• You'll also be exposed to advanced SEO strategies and how large enterprises drive traffic through non-paid channels.

• Expect to be part of meetings that influence the direction of web content, landing page taxonomy, and category mapping.

• While the role is based in India, you may work with global colleagues across different time zones.

• eBay offers an inclusive and flexible work environment that supports both career and personal growth.

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Roles and Responsibilities

• Analyze large sets of landing page data to discover performance trends and anomalies.

• Create and manage reports that track how specific landing pages perform over time.

• Work with SEO and Product teams to identify gaps in landing page coverage.

• Participate in defining strategies for which categories and products should have dedicated landing pages.

• Use statistical techniques to forecast performance or simulate the potential outcomes of page changes.

• Design and run controlled experiments (A/B tests) to test new landing page ideas.

• Prepare and maintain dashboards for internal teams, ensuring they have access to up-to-date metrics.

• Maintain the quality and consistency of metadata used in search engine indexing.

• Help streamline the process of updating and removing outdated landing pages.

• Share learnings and best practices across different business units within the company.

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Tools and Technologies You May Use

• SQL for querying data from relational databases.

• Python or R for statistical modeling and data manipulation.

• Tableau, Power BI, or similar tools for visualizing and presenting data.

• Excel for quick computations and structured reports.

• Google Analytics and other SEO-related tools for tracking user interaction.

• Internal platforms for experimentation setup and tracking.

• Project management and documentation tools like JIRA and Confluence.

• Git for version control if collaborating on scripts or data models.

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Collaboration and Communication

• Collaborate with developers to automate workflows or integrate analytics into tools.

• Share reports and insights with senior management on a regular basis.

• Work closely with UX researchers and designers to validate hypotheses.

• Provide feedback loops to SEO teams based on real-time traffic performance.

• Serve as a bridge between technical and non-technical stakeholders.

• Be responsive to urgent data issues and prioritize accordingly.

• Participate in standups, sprint reviews, and planning sessions to align with cross-functional goals.

• Clearly document analysis workflows and assumptions to allow reproducibility.

• Translate data trends into understandable narratives for broader audiences.

• Foster a feedback-oriented culture and be open to peer reviews.

Please click here to apply.