Data Analyst - IT IV

Somerset StaffingHouston, TX
Hybrid

About The Position

We are seeking a Senior Data Analyst to lead the development of dashboards and analytics solutions that empower business users to make data-driven decisions. Operating as a trusted analytics partner, this role owns metrics end-to-end, shapes data standards, and translates complex technical and behavioral data into clear business insights. The focus will heavily center on building high-quality Power BI dashboards using data from modern, cloud-based sources including UDH data sources, DynamoDB, Postgres, and application observability tools.

Requirements

  • Power BI (Data modeling, DAX, Power BI Service) – 5+ years
  • SQL & Relational Databases (Postgres or similar) – 5+ years
  • NoSQL / AWS Cloud Environments (DynamoDB) – 5+ years
  • 8+ years of total experience, 5+ in specialized analytics
  • Strong technical mastery over Power BI, SQL, and AWS NoSQL environments.
  • Exceptional communication skills, seamlessly bridging the gap between technical metrics and non-technical business stakeholders.
  • Act as a strategic thought partner rather than just a report builder.

Nice To Haves

  • Experience with UDH / Unified Data Hub architectures
  • Application Observability (RUM & APM tools/metrics)
  • Data Governance & KPI Standardization
  • Senior leadership/domain ownership in an analytics setting

Responsibilities

  • Design, build, and own Power BI dashboards and reports for business, product, and operational stakeholders.
  • Partner with stakeholders to define KPIs and translate business questions into scalable data models and visualizations.
  • Analyze and model data from UDH data sources, DynamoDB, Postgres, and AWS-hosted infrastructure.
  • Incorporate Real User Monitoring (RUM) and Application Performance Monitoring (APM) data into dashboards to surface trends related to performance, reliability, and user experience.
  • Build and maintain advanced DAX measures and calculations following Power BI best practices while ensuring dashboard performance and maintainability.
  • Validate data accuracy, perform root cause analysis, partner with engineering teams to resolve inconsistencies, and provide technical guidance to other analysts.
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