Data Analyst: Metrics, UAT & Data Quality

Feuji Inc; St. Louis (MO); On-site; USD 65,000 - 85,000; Full time

Job summary

Feuji Inc. is seeking a Data Analyst in St. Louis, MO to bridge business stakeholders and engineering teams, owning metric governance, testing, data quality, and business support activities.

You will validate metrics, lead UAT, remediate data defects, and support stakeholders with clear, documented reporting. This contract-to-hire role emphasizes rigorous quality and cross-team collaboration.

Qualifications

• Strong SQL and analytical skills.
• Experience supporting business-critical reporting and metric validation.
• Experience with UAT, data quality management, and root cause analysis.
• Strong stakeholder engagement and communication skills.
• Documentation and requirements gathering experience.

Responsibilities

• Metric Validation & Release Sign-Off: Validate and reconcile executive, advisor, and board-facing metrics against source systems prior to release; document exceptions; maintain definitions and lineage.
• User Acceptance Testing (UAT): Define test cases, coordinate validation activities, perform regression testing, log and verify defect resolution; provide release readiness recommendations.
• Data Quality & Source Remediation: Define recurring data quality checks; investigate issues; coordinate with data owners to resolve defects; reconcile outputs against source systems.
• Business & Stakeholder Support: Define requirements for new metrics and reporting; act as primary contact for metric definitions; maintain stakeholder self-service documentation.

Skills

SQL

Analytical skills

Stakeholder engagement

Tools

Power BI

Job description

Feuji Inc. is seeking a Data Analyst in St. Louis, MO to bridge business stakeholders and engineering teams, owning metric governance, testing, data quality, and business support activities.

You will validate metrics, lead UAT, remediate data defects, and support stakeholders with clear, documented reporting. This contract-to-hire role emphasizes rigorous quality and cross-team collaboration.