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Data Analyst

InnovateTech Solutions
Detroit, MI
Estimated Salary
USD 75.000 – USD 95.000
Live Update
13 September 2026
Deadline
13 Sep 2027

Job Description

Join InnovateTech Solutions as a Data Analyst and become the driving force behind data-driven decisions in Detroit's thriving tech ecosystem. We're urgently seeking a passionate analyst to transform complex datasets into actionable business insights. This hybrid role offers the chance to work with cutting-edge technologies while making tangible impact on our automotive and manufacturing clients.

Our Detroit team operates from a state-of-the-art downtown facility with flexible work arrangements. You'll collaborate with senior data scientists and business strategists to solve real-world challenges using Python, SQL, and visualization tools. We offer competitive benefits including health insurance, 401(k) matching, and professional development stipends.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards using Tableau and Power BI for stakeholder reporting
  • Develop predictive models to forecast market behavior and operational efficiencies
  • Collaborate with cross-functional teams to translate data insights into business strategies
  • Automate reporting processes to improve data accessibility and accuracy
  • Present findings to executive leadership through clear, compelling visualizations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong understanding of statistical methods and experimental design
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Excellent communication skills with ability to translate technical concepts
  • Portfolio demonstrating data analysis projects with measurable impact

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Predictive Modeling AWS

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