דרושים Data Business Intelligence Analyst ב-איביי ב-India, Bengaluru

We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.

• Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).

• Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .

• Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.

• Diagnose and resolve performance, scalability, and correctness issues in distributed environments.

• Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.

• Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
  

• 6+ years of professional software engineering experience (or equivalent impact).

• Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.

• Strong coding skills in Java/Python and familiarity with CI/CD .

• Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.

• Solid debugging, performance analysis, and system design skills.
  

• multi-tenant platform services, data governance, or privacy-by-design controls.

• Contributions to open-source distributed systems or data platforms.
  

• ships independent, well-scoped features/services to production with strong reliability.

• Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.

• Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.

• Maintains high code quality, test coverage, and quality-in-release metrics.
  

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.

• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.

• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.

• Growth:

About the Role

The ideal candidate will apply advanced analytics and data science techniques to:

• Drive innovation,
• Build scalable data products, and
• Deliver actionable recommendations through rigorous analysis.

Key Responsibilities

• Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions.
• Drive product decisions using A/B testing techniques and experimental design.
• Lead innovation and continuous improvement within the Focus Category Analytics team.
• Develop data products that enable faster and more accurate decision-making.
• Leverage advanced analytics tools and data science models to solve category-level challenges.
• Collaborate with cross-functional teams — including Business, Product Management, Engineering, and Finance — to identify, prioritize, and resolve key business challenges.
• Serve as a trusted partner and advisor to senior leaders, translating complex analytical insights into actionable business recommendations.
• Create tools, dashboards, and reports to monitor and ensure program success.

Additional Requirements

• This role operates in a hybrid work model .
• Flexibility to attend late evening meetings (audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings.

What We Expect From You

• Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics , or a related quantitative field.
  • Master’s degree or MBA preferred.
• 6+ years of experience in data science, analytics, or a related field .
• Strong analytical skills with proficiency in:
  • SQL
  • Excel
  • Data visualization tools (e.g., Tableau, Power BI, Looker)
• Proficiency in statistical programming languages such as Python or R .
• Background in product analytics , with hands-on experience in A/B test design and measurement preferred.
• Proven track record of using analytics and data science to:
  • Drive significant business impact,
  • Build predictive models, and
  • Solve optimization or elasticity problems.
• Excellent communication skills with the ability to translate technical findings into business insights for non-technical audiences.
• Experience working in a fast-paced, cross-functional environment .

What you will accomplish:

• Modeling & NLP Development
  • Design LLM-based pipelines (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
  • Develop summarization, clustering, and topic modeling approaches to group recurring themes across markets and product lines.
  • Apply prompt engineering , retrieval-augmented generation (RAG) , and embedding search to improve model accuracy and relevance.
  • Use machine learning methods in concert with LLM.

• Data Engineering & Processing
  • Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
  • Ensure data quality, scalability, and compliance with internal governance and data privacy policies.
  • Productionize models and integrate outputs with downstream systems and dashboards.

• Insights Delivery & Visualization
  • Design and build interactive visualizations (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
  • Partner with Insights teams to create data stories and presentations that influence business strategy using clear, human-readable summaries of complex findings.

What you will bring:

• Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
• MSc or PhD in Computer Science, Data Science, Statistics, or a related field .
• 4+ years of experience in machine learning , NLP , or data-driven product development .
• Strong coding proficiency in Python (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)
• Strong experience with front end development with JavaScript and data visualization libraries (e.g. D3.js)
• Experience deploying and managing machine learning services in containerized environments using Docker and Kubernetes .
• Deep understanding of vector databases , semantic search , and embedding-based retrieval systems .
• Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).
• Proven experience working with large-scale unstructured text data .

As a at eBay India, you will ensure the financial integrity of transactions across the eBay marketplace, payments platforms, third-party processors, and internal systems. You’ll be responsible for executing reconciliation processes, identifying mismatches, resolving variances, and collaborating across Finance, Product, and Controlling to maintain a high standard of operational accuracy and compliance. Beyond daily operations, you’ll lead investigations, drive process automation, and partner with global stakeholders to enhance reconciliation coverage and operational compliance.

Job Responsibilities:

• Responsible for daily, weekly, and monthly reconciliations across:
  • Payment processors
  • Orders/Buyer-seller payment transactions
  • Settlement files and ledger reports
  • Bank statements
• Monitor transaction failures, mismatches, and exceptions using reconciliation tools and dashboards
• Responsible for investigating and resolving unreconciled items or mismatches
• Ensures accurate and quick response to identified variances
• Prepares reconciliation reports with analysis and root cause summaries
• Lead deep-dive investigations into recurring reconciliation mismatches, drive long-term solutions through stakeholder collaboration.
• Build and maintain dashboards or metrics to track daily/weekly health of reconciliation coverage (e.g., mismatch % over time, aging analysis).
• Maintains SOPs and documentation for audit and compliance
• Act as the reconciliation SME in cross-functional initiatives involving product rollouts, new payment method launches, or ledger redesign.
• Represent the reconciliation function in audit, risk, or compliance reviews, providing insights and preparing documentation.
• Liaise with external partners (e.g., banks, PSPs) for issue resolution and SLA enforcement.
• Provides feedback to improve reconciliation coverage, speed and accuracy

Job Requirements/Qualifications:

• You have a broad understanding of accounting flows and reconciliation processes/tools
• You have a bachelor’s degree or equivalent in accounting, Economics, Finance or equivalent with proven experience in reconciling accounting/payments data for 5+ Years.
• You are self-motivated, efficient, independent and possess excellent analytical and problem-solving skills.
• You are a great teammate with the ability to work across multiple offices and time zones in a very diverse setting.
• Mentor junior analysts and support their onboarding, knowledge ramp-up, and process understanding.
• Conduct peer reviews of reports and reconciliation logic.
• You have excellent interpersonal skills that allow you to successfully collaborate with others.
• You are flexible and willing to function in a constantly changing, demanding environment.
• You have Strong command of Microsoft Excel or Google sheets (formulas, pivots, VLOOKUP)

Familiarity with SQL, Tableau or MicroStrategy is a plus

Job Description

Responsibilities will include, but are not limited to the following:

• Monthly forecasting, annual budgeting, and ad-hoc reporting support.
• Responsible for the execution of the monthly financial close, journal entries, accurate financial reporting of expenses, and hiring plans
• Drive analysis of cost trends and articulate related cause and effect to managers
• Work closely with Controllership team to coordinate compliance with US GAAP, ensure that the relevant financial control processes are used and appropriate audit trail maintained at all times
• Build and maintain positive relationships with various parts of the business to understand their needs and/or requests, and challenge methodologies to ensure balance between shareholders, customer and business partner expectations
• Continuously identify opportunities to automate and streamline processes to increase efficiency and accuracy in the operational planning processes
• Provide insightful and actionable monthly reports comparing actual trends against budget and forecast assumptions
• Build presentation content for Monthly Business Review of key metrics and expense drivers

Experience and qualifications required:

• Bachelor’s degree in Business, Accounting, or Finance
• Passionate about business and the related performance
• 3+ years of finance experience with exposure to different areas (business analysis, accounting, FP&A, etc.)
• Experience with financial systems such as Anaplan, SAP[, BW, etc. is a plus
• Strong interpersonal skills and a proven track record to partner effectively with all functions and levels within the organization
• Excellent written and verbal communication skills
• Ability to multi-task and manage timelines
• Ability to perform in a matrix organization with multiple partners with a high degree of complexity and ambiguity
• The ideal candidate will have outstanding technical skills with spreadsheets, presentations, along with proven financial analysis capabilities

Shape the Future of AI-Driven eCommerce Discovery

You’ll join the org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences.

What You’ll Work On

• Transform Product Data into Insights
  Conduct deep-dive SQL and Python analyses to uncover opportunities in taxonomy, ontology, and catalog structure that enhance discovery and user experience.

• Harness the Power of Generative AI
  Use prompt engineering and LLMs to create innovative tools for classification, taxonomy validation, and data enrichment.

• Build & Evaluate AI/ML Models
  Design frameworks to evaluate product knowledge models, semantic embeddings, and ML-based categorization systems.

• Drive Data-Informed Strategy
  Translate complex findings into clear, actionable insights for Product and Engineering teams. Influence roadmap decisions on entity resolution, catalog optimization, and knowledge graph development.

• Partner Across Functions
  Collaborate closely with Applied Research, Engineering, and Product teams to build and deploy high-impact data and AI solutions at scale.

• Experiment & Innovate Fast
  Prototype quickly, validate hypotheses, and iterate on structured data and AI-driven solutions that push boundaries.

What You Bring

• 12+ years of experience in data science or analytics roles, including 5+ years leading teams

• Proven track record building data products, knowledge graphs, and scalable data pipelines

• Deep understanding of eCommerce search, recommendation systems, and product analytics

• Hands-on experience with LLMs, prompt engineering, and RAG techniques (preferred)

• Strong communication skills and ability to influence cross-functional stakeholders

• Experience evaluating ML models with custom metrics and robust frameworks

• Startup mindset—comfortable with ambiguity, bias for action, and fast iteration

Why Join Us

• Be at the forefront of AI-powered product discovery in eCommerce

• Own high-impact initiatives in a startup-style culture with real autonomy

• Work alongside world-class talent across AI, Product, and Engineering

• Build solutions that scale—serving millions of users and shaping the future of shopping

Ready to lead the next wave of AI + Data innovation in commerce? Let’s build the future together.

As a , you will work at the intersection of , and . You will be responsible for performing high-volume reconciliations and analysis between internal ledgers, payment pipelines, and banking partners. Additionally, you will apply to detect mismatches, predict anomalies, and support proactive financial risk management.

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.

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