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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst with Relocation Assistance

Insight Analytics Group
Minneapolis
Estimated Salary
USD 28 – USD 42
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join our dynamic data team in the vibrant Twin Cities! Insight Analytics Group is seeking a detail-oriented Part-Time Data Analyst with relocation assistance to transform complex datasets into actionable business insights. This remote-friendly role offers flexible hours and full relocation support for qualified candidates moving to Minneapolis. Collaborate with cross-functional teams to drive data-driven decisions while enjoying Minnesota's exceptional quality of life.

Why Minneapolis? Thriving tech scene, world-class healthcare, renowned arts district, and unmatched outdoor recreation opportunities. Our relocation package covers moving expenses, temporary housing, and community integration support.

Responsibilities

  • Analyze complex datasets to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Develop SQL queries to extract and clean data from multiple sources
  • Collaborate with stakeholders to define data requirements and deliverables
  • Document data processes and maintain data quality standards
  • Present findings to leadership through clear, actionable reports
  • Support ad-hoc analysis projects for marketing, operations, and finance teams

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 2+ years experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas/Numpy), and visualization tools
  • Experience with statistical analysis and hypothesis testing
  • Strong problem-solving and attention to detail
  • Excellent communication and presentation skills
  • Ability to work independently in a remote environment
  • Portfolio demonstrating data analysis projects required

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Data Cleaning Business Intelligence

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