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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
Minneapolis
Estimated Salary
USD 85.000 – USD 110.000
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join Nexus Analytics as we revolutionize data-driven decision making for Fortune 500 clients across the Midwest. We're seeking a passionate Senior Data Analyst to transform complex datasets into actionable business intelligence. Our Minneapolis team operates at the intersection of technology and innovation, offering immediate impact opportunities in a collaborative environment.

As a key member of our data strategy division, you'll leverage cutting-edge tools to uncover market trends, optimize operational efficiency, and drive revenue growth. We provide competitive benefits including flexible work arrangements, professional development stipends, and equity participation.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Develop interactive dashboards and visualizations using Tableau and Power BI
  • Conduct statistical analysis and A/B testing to validate business hypotheses
  • Collaborate with cross-functional teams to translate data insights into strategic recommendations
  • Automate reporting workflows and maintain data governance standards
  • Present findings to executive stakeholders through compelling data narratives
  • Mentor junior analysts and champion data literacy initiatives

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's preferred)
  • 5+ years of professional data analysis experience with measurable business impact
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced Tableau/Power BI certification with portfolio of enterprise dashboards
  • Experience with statistical modeling and machine learning techniques
  • Proven ability to communicate complex concepts to non-technical audiences
  • Strong problem-solving skills with attention to data quality and accuracy
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake)

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Machine Learning Data Pipelines A/B Testing

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