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Reconciliation Data Analyst

Reconciliation Data Analyst

eBayBengaluru, Karnataka, India
4 days ago
Job description

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

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., T+1, T+3 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 :

4-7 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

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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Data Analyst • Bengaluru, Karnataka, India

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