Job Description
Join our award-winning analytics team at InnovateTech Solutions, a Detroit-based tech leader transforming urban mobility through data-driven innovation. We're seeking a passionate Senior Data Analyst to uncover actionable insights from complex datasets and influence strategic decisions across our autonomous vehicle division. This hybrid role combines cutting-edge technology with meaningful community impact in one of America's most dynamic cities.
As a key member of our Data Science Center of Excellence, you'll leverage state-of-the-art tools to solve real-world challenges while collaborating with cross-functional teams including product engineers, urban planners, and business strategists. Our Detroit headquarters offers modern amenities, competitive benefits, and unparalleled opportunities for professional growth in the heart of the Motor City's tech renaissance.
Responsibilities
- Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
- Develop interactive dashboards and reports using Tableau and Power BI to visualize key performance metrics
- Perform statistical analysis and predictive modeling to identify trends in urban mobility patterns
- Collaborate with product teams to translate data findings into actionable business recommendations
- Automate reporting workflows and optimize data processing efficiency using ETL tools
- Present complex analytical findings to executive stakeholders through compelling data storytelling
- Maintain data quality standards and implement governance best practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 5+ years of professional data analysis experience with proven track record in dashboard development
- Expert proficiency in SQL, Python (Pandas/NumPy), and statistical analysis methods
- Advanced experience with data visualization tools (Tableau, Power BI, or Looker)
- Strong understanding of data warehousing concepts and ETL processes
- Experience working with large datasets in cloud environments (AWS/GCP/Azure)
- Excellent communication skills with ability to translate technical insights for non-technical audiences
- Portfolio demonstrating complex data analysis projects with measurable impact