Summary: Seeking a Data Analyst to investigate data discrepancies, identify root causes, and collaborate with engineering teams on system improvements. Highlights: 1. Investigate and resolve data discrepancies 2. Collaborate with engineering teams 3. Enhance data quality and system traceability We are seeking a **Data Analyst** with strong technical skills and investigative mindset to join our team. This analyst will be responsible for reviewing table\-level data discrepancies, identifying likely causes, and working with engineering teams to suggest and validate monitoring or logging improvements within upstream systems. ### **Key Responsibilities** * Analyze reconciliation delta outputs (inserts, updates, deletes) per table to identify patterns and potential causes of data mismatches between source and target systems. * Reverse\-engineer data flow issues by tracing potential data quality, process timing, or transformation problems in the upstream systems. * Collaborate with engineers to understand source systems (e.g., Java\-based microservices) and how data is written, transformed, or synchronized downstream. * Identify candidate fields or metadata (e.g., last\_updated timestamps, missing keys) that could explain discrepancies. * Propose actions to improve traceability in source systems, including: + Instrumenting logs + Capturing audit fields + Implementing or enhancing existing data lineage * Prepare concise documentation and recommendations, including summary reports of analysis findings and proposals for corrective actions. * Optionally support data validation in both source and target environments to verify resolution of previously identified issues. *(inferred)* ### **Required Qualifications** * 4\+ years of experience in data analysis, business intelligence, or data engineering roles with strong investigative and reporting capabilities * Strong proficiency in **SQL** for querying large datasets * Hands\-on experience analyzing data within **AWS environments**, including **Athena**, **S3**, and **Glue** * Working knowledge of **Python** and/or **Java** to understand data generation paths and support collaboration with development teams * Familiarity with **microservices architectures** and their implications for data persistence and synchronization * Experience analyzing operational data for root cause and working with developers to close systemic gaps (e.g., missed updates, stale reads)