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Senior Data Analyst

InsightMetrics Analytics
Chicago
Estimated Salary
USD 85.000 – USD 110.000
Live Update
3 Mei 2026
Deadline
3 Mei 2027

Job Description

Join our award-winning data team at InsightMetrics Analytics, where we transform complex datasets into strategic business intelligence. We're seeking a Senior Data Analyst to drive data-driven decision-making across our Fortune 500 client portfolio. This role offers unparalleled growth opportunities in a collaborative, innovation-focused environment with cutting-edge technology stack.

As a key member of our analytics division, you'll leverage advanced statistical methods and visualization tools to uncover actionable insights that directly impact revenue optimization and operational efficiency. Our Chicago headquarters features modern workspaces, flexible scheduling, and comprehensive benefits including tuition reimbursement and professional development stipends.

Responsibilities

  • Develop and maintain complex data models using SQL, Python, and R to identify market trends and customer behavior patterns
  • Create interactive Tableau dashboards for executive leadership that visualize KPIs and performance metrics
  • Collaborate with cross-functional teams to define data requirements and deliver actionable business insights
  • Design A/B testing frameworks to validate hypotheses and optimize digital marketing campaigns
  • Automate reporting processes using Python and Power BI to improve data accessibility
  • Present findings to C-suite executives through compelling data storytelling sessions
  • Ensure data integrity through rigorous validation protocols and documentation best practices

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field (Master's preferred)
  • 4+ years of progressive data analysis experience with proven impact in data-driven roles
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis techniques
  • Advanced Tableau/Power BI certification with portfolio of enterprise-level visualizations
  • Experience with cloud platforms (AWS, Azure) and big data technologies (Spark, Hadoop)
  • Strong business acumen with ability to translate technical findings into strategic recommendations
  • Excellent communication skills with history of presenting to executive audiences

Required Skills

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

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