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Business Data Analyst

Job in Bellevue, King County, Washington, 98009, USA
Listing for: ANICCA DATA SCIENCE SOLUTIONS LLC
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Benefits

  • Dental insurance
  • Health insurance
  • Vision insurance
  • 401(k)
Key Responsibilities
  • Collaborate with stakeholders to gather business and data requirements.
  • Analyze and profile large datasets using SQL to support business intelligence and data engineering needs.
  • Develop and maintain source-to-target data mapping documents.
  • Work closely with Data Engineers to validate data transformations and pipeline outputs.
  • Partner with Power BI Developers to ensure data models are aligned with business use cases.
  • Document business rules, data logic, and lineage to support data governance and quality initiatives.
  • Perform gap analysis between current and desired data flows.
  • Assist in UAT test case definition and execution in collaboration with QA analysts.
Required Qualifications
  • 5+ years of experience as a Data Analyst or Business Analyst with a focus on data.
  • Strong SQL/KQL skills, including complex queries against large datasets.
  • Demonstrated experience in data mapping, data profiling, and source-to-target documentation.
  • Experience working with modern data platforms; familiarity with Microsoft Azure Data Factory (ADF), Data Lake, and/or Microsoft Fabric is a plus.
  • Ability to translate business requirements into technical specifications.
  • Strong communication skills and comfort interfacing with business and technical stakeholders.
  • Familiarity with Agile or hybrid Agile/Waterfall delivery methodologies.
  • Project/Program management skills.
Preferred Qualifications
  • Experience with Power BI or similar BI tools.
  • Project/Program management skills.
  • Knowledge of data governance frameworks and metadata management.
  • Experience with Excel, Visio, and other documentation tools
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