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Business Analyst IV

Job in Seattle, King County, Washington, 98127, USA
Listing for: IntePros
Part Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Business Analyst IV - Geospatial

Summary
We are seeking a highly experienced Business Analyst to review, analyze, and evaluate business systems and user needs in alignment with overall business strategies. This role is critical in formulating systems, documenting user requirements, and outlining program functions to support new strategic initiatives for the Strategic Initiatives Team. The ideal candidate has expertise in GEO spatial analysis, advanced Excel, large database management, and data analytics, with proven experience applying statistical methods and programming tools such as Python or R.
Key Responsibilities
  • Review, analyze, and evaluate business systems and user needs.
  • Formulate systems and processes to align with overall business strategies.
  • Write detailed descriptions of user requirements, program functions, and steps required to develop or modify computer programs.
  • Plan and accomplish goals by relying on extensive experience, judgment, and creativity.
  • Lead and direct the work of others while performing a wide variety of tasks.
  • Partner closely with the hiring manager while working independently to deliver results.
Required Skills & Qualifications
  • Bachelor's degree required;
    Master's degree preferred.
  • 6-8 years of experience in business systems analysis or a related area.
  • GEO spatial expertise (5+ years).
  • Advanced Excel skills (5+ years).
  • Experience working with large databases (2+ years).
  • Proficiency in Python and/or R.
  • Strong background in data analytics and statistics.
Top 3 must-have skills (stack-ranked):
  • GEO spatial analysis - 5 years.
  • Advanced Excel - 5 years.
  • Large database management - 2 years.
  • Why This Role Stands Out
    • Opportunity to contribute to new strategic projects with high visibility.
    • Build a strong portfolio by working with large and complex data sets.
    • Independent, flexible work schedule (20 hours per week).
    • Exposure to high-level initiatives with direct impact.
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