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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

InnovateIQ Analytics
Chicago
Estimated Salary
USD 85.000 – USD 110.000
Live Update
20 Agustus 2026
Deadline
20 Agu 2027

Job Description

Join our dynamic analytics team in Chicago and transform raw data into actionable business insights. InnovateIQ Analytics is seeking a passionate Senior Data Analyst to drive data-driven decision making across our fast-growing technology solutions division. You'll collaborate with cross-functional teams to uncover market trends, optimize operational efficiency, and deliver compelling visualizations that empower leadership.

We offer a collaborative environment with cutting-edge tools, professional development opportunities, and comprehensive benefits including health insurance, 401k matching, and flexible work arrangements. Our downtown Chicago office provides easy access to public transportation and vibrant cultural attractions.

Responsibilities

  • Design and implement robust data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Analyze complex datasets to identify trends, anomalies, and growth opportunities
  • Collaborate with product teams to define KPIs and track performance metrics
  • Present findings to leadership through clear, data-driven storytelling
  • Automate reporting processes to enhance team efficiency
  • Maintain data integrity through rigorous quality control protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of professional data analysis experience with SQL proficiency
  • Expert knowledge of Python (Pandas, NumPy) and visualization tools
  • Experience with statistical analysis and hypothesis testing methodologies
  • Proven ability to translate complex data into business recommendations
  • Familiarity with cloud data warehouses (Redshift, BigQuery, Snowflake)
  • Strong communication skills with ability to present to non-technical audiences
  • Portfolio demonstrating impactful data projects required

Required Skills

SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis Data Pipelines Business Intelligence

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