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Pacific Staffing Linkedin · Posted today

Data Analyst

Sacramento, California, United States

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Indexed description

Pacific Staffing is recruiting a Data Analyst for our downtown Sacramento based client to support Power BI reporting, SQL‑based data requests, data quality initiatives, and day‑to‑day reporting support across the organization. This role works closely with stakeholders and senior technical staff to transform business questions into accurate, well‑documented dashboards, datasets, and analytical outputs while maintaining strong data standards and responsive ticket management. Our client offers a collaborative, driven environment with strong professional growth opportunities, modern data tools, and a supportive culture that values innovation and continuous learning.

  • Salary: $85,000–$90,000 per year (DOE)
  • Hybrid


Key Responsibilities:

  • Develop, maintain, and troubleshoot Power BI dashboards, reports, semantic models, DAX, and refresh behavior.
  • Complete data requests using SQL and Power BI; deliver dashboards, datasets, extracts, and analysis summaries.
  • Investigate data discrepancies, support validation processes, and maintain consistent metric definitions.
  • Manage and resolve data‑related support tickets; document resolutions and escalate when needed.
  • Provide data support for Power BI, Dynamics 365 CE/FO, and other business systems.
  • Document SQL logic, report definitions, and recurring processes.


Qualifications:

  • Bachelor’s degree in Data Analytics, Information Systems, CS, Math, Statistics, or equivalent experience.
  • 1–3 years of experience with Power BI, SQL, and data analysis.
  • Strong SQL skills (joins, aggregations, window functions, troubleshooting).
  • Hands‑on Power BI experience (DAX, Power Query, semantic models).
  • Strong analytical, communication, and problem‑solving skills.
  • Detail‑oriented with commitment to accurate, well‑documented work.
  • Experience with Microsoft Fabric, Lakehouse/Warehouse concepts, or modern analytics platforms.
  • Python for analysis or automation.
  • Familiarity with Dynamics 365 or other CRM/ERP systems.


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