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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


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.


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.


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.


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.


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.


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.


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.


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