Operations Data Specialist 4

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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.

Who Are We

Looking for a company that inspires passion courage and imagination where you can be part of the team shaping the future of global commerce Want to shape how millions of people buy sell connect and share around the world If youre interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace join eBay a company you can be proud to be a part of.

About the Role

We are looking for Data Analysts to join the Landing Page Data team. This is not a traditional reporting analyst role we need analysts who are strong in SQL Python automation and comfortable partnering with Engineering and Data Science to streamline and improve data workflows.

These analysts will play a critical role in automating manual processes improving data quality building repeatable pipelines and supporting AI-driven systems that reduce operational overhead. You will use data to identify opportunities enhance landing page quality and contribute directly to user experience and business outcomes.

What You Will Do

Automation & Workflow Optimization

• Build automated scripts tools and pipelines using Python SQL and workflow automation frameworks to eliminate manual processes.

• Partner with Engineering/Data Science to operationalize ML-based data quality checks labeling automation and rule-based validation scripts.

• Develop monitoring systems to detect anomalies and trigger automated workflows where possible.
  

Data Analysis & Insights

• Analyze landing page and category-level data to identify trends inconsistencies and optimization opportunities.

• Work with Product and Engineering to evaluate the performance of landing page variations experiments and new automation tools.

• Conduct root-cause analysis on data quality issues and propose scalable automated solutions.
  

Reporting & Measurement

• Build dashboards recurring reports and automated reporting pipelines to track data quality landing page performance and workflow efficiency.

• Measure and quantify the impact of automation initiatives (e.g. time saved quality lift reduction in manual tasks).

• Communicate insights clearly to technical and non-technical stakeholders.

Minimum Qualifications

• B Tech in Computer Science Information Science Data Science Engineering or related field.

• 4 years of experience on strong hands-on SQL skills (complex joins window functions optimization techniques).

• Proficiency in Python for data analysis automation ETL scripting and workflow optimization.

• Experience with:

  • Data collection processing and analysis

  • Working with large datasets

  • Building automated data pipelines

• Strong analytical and problem-solving skills including ability to investigate troubleshoot and resolve data issues.

• Understanding of web analytics experimentation and A/B testing methodologies.

• Ability to communicate insights and recommendations clearly and concisely.

• Detail-oriented with excellent organization and documentation skills.

• Ability to collaborate effectively in a cross-functional fast-moving environment.

Preferred Qualifications

• Experience with workflow automation to data quality frameworks.
  Exposure to ML/AI-driven data workflows (classification labeling anomaly detection).

• Experience with dashboarding tools (Tableau Looker Power BI).

• Knowledge of landing page optimization taxonomy or search/ranking ecosystems.

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