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Data Analyst (Minneapolis, MN) | Relocation Assistance Available

InnovateMetrics Corp
Minneapolis
Estimated Salary
USD 85.000 – USD 110.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Join InnovateMetrics Corp's dynamic analytics team in Minneapolis, MN! We're seeking a talented Data Analyst to transform complex data into actionable business insights. With comprehensive relocation assistance and a culture of innovation, this is your opportunity to accelerate your career in the heart of the Midwest.

Our Minneapolis-based team empowers Fortune 500 clients with cutting-edge data solutions. You'll collaborate with cross-functional teams to drive strategic decisions through rigorous analysis, visualization, and storytelling. We offer competitive benefits, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Develop interactive dashboards and visualizations using Tableau and Power BI
  • Collaborate with stakeholders to translate business requirements into analytical frameworks
  • Design and implement A/B tests to validate hypotheses and optimize performance
  • Create comprehensive reports and presentations for executive leadership
  • Maintain and enhance data pipelines ensuring accuracy and efficiency
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced experience with data visualization tools (Tableau/Power BI)
  • Strong statistical knowledge and experimental design skills
  • Excellent problem-solving and business communication abilities
  • Portfolio demonstrating impactful data-driven projects
  • Eligibility for relocation assistance (US-based candidates only)

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization A/B Testing Data Pipelines Business Intelligence

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