Reconciliation Data Analyst
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Job Location:
Monthly Salary:
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
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.
As a Reconciliation Data Analyst you will work at the intersection of financial operations payment insight analysis large-scale data processing Tableau report building and AI/ML-driven anomaly detection. You will be responsible for performing high-volume reconciliations and analysis between internal ledgers payment pipelines and banking partners. Additionally you will apply machine learning techniques to detect mismatches predict anomalies and support proactive financial risk management.
This is a critical data-focused analysis role for analysts who are equally comfortable with Spark SQL Python Big Data platforms and foundational AI/ML tools.
Job Responsibilities
Reconciliation & Data Integrity
- Execute automated reconciliations between payment gateways banking settlements and internal transaction records.
- Maintain reconciliation SLAs (e.g. T1 T3 variance resolution) and build recon dashboards for daily break monitoring.
- Build and monitor dashboards for break detection aging summaries and resolution tracking.
- Use spark SQL queries and semi-structured data extraction for deep reconciliation pipelines.
Data Engineering & Automation
- Write scalable Hive/BigQuery queries to do RCA automation
- Build web tool using Python scripts to reduce manual work and data research.
- Develop and maintain recon tools and workflows using orchestration platforms (e.g. Airflow DLS).
- Support pipeline enhancements by collaborating with engineering teams to optimize recon job performance.
Reporting & Audit
- Provide payment insights to support business decision and monitoring
- Present analysis findings and root cause summaries to finance controllers and auditors.
- Ensure data integrity in SOX-auditable recon processes; assist with documentation for internal controls.
- Support audit and compliance teams with automated variance tracking logs and break classification logic.
AI/ML-Driven Anomaly Detection & Forecasting
- Build lightweight ML models (e.g. classification outlier detection) to provide issue summary RCA of exception payment data insight.
- Implement anomaly detection frameworks
- Work closely with data scientists and engineering to deploy detection pipelines within scheduled recon workflows.
Qualifications & Skills
Required:
- 47 years in data analytics reconciliation financial operations or payments analytics
- Proficient in SQL Hive/Presto Python (Pandas NumPy)
- Experience with Hadoop Spark or cloud-scale data platforms
- Ability to work independently with large-scale financial data systems
- Strong skill of Tableau or other BI tools
Preferred:
- Working knowledge of ML algorithms applied to anomaly detection or classification problems is plus
- Familiarity with financial data flows: settlements payments general ledger etc.
- Understanding of ledger reconciliations journal entries and financial compliance
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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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more
