Title: Data Analyst

Key Responsibilities:

• Maintain, update, and audit relational databases (PostgreSQL), ensuring accuracy, consistency, and traceability.
• Write and optimize SQL queries, including multi-table joins, aggregations, and validation checks.
• Perform data quality checks, reconcile discrepancies, and document root causes and fixes.
• Build and maintain Excel-based audit tools (pivots, lookups, Power Query as applicable) for reporting and verification.
• Partner with internal users to gather requirements, challenge unclear requests, and translate business needs into data definitions and logic.
• Create and maintain documentation: table definitions, field mappings, audit results, and change logs.
• Support process improvements and controls around data updates, permissions, and governance.

Professional Experience:

• Strong SQL experience, including PostgreSQL (or equivalent with ability to ramp quickly).
• Solid understanding of relational database fundamentals (keys, constraints, normalization concepts, data integrity).
• Demonstrated experience managing, updating, and auditing datasets/databases.
• Advanced Excel skills (filters, pivot tables, XLOOKUP/VLOOKUP, data validation; Power Query is a plus).
• Demonstrated experience performing data audits and documenting findings, remediation steps, and outcomes (repeatable + traceable work).
• Comfortable owning ambiguous requests and independently questioning stakeholders to gather requirements and confirms data definitions before building.
• Can explain logic and assumptions clearly to both technical and non-technical stakeholders.
• Shows critical thinking, asks “why,” identifies risks and edge cases, and proposes better approaches rather than executing blindly.
• Proven ability to investigate inconsistencies, ask probing questions, and validate assumptions.
• Strong written and verbal communication; comfortable working directly with stakeholders.
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