Job Description
Join our dynamic team immediately! Detroit Tech Innovations Inc. is seeking a highly skilled Senior Data Analyst to drive data-driven decision-making in our fast-paced automotive tech division. This is a direct-hire position with immediate start date and competitive benefits package. Work remotely with occasional on-site collaboration at our downtown Detroit headquarters.
We offer a collaborative environment where your expertise will directly impact product development and business strategy. Enjoy flexible scheduling, professional development stipends, and the opportunity to shape our data science roadmap. Perfect for candidates seeking career growth in a thriving tech ecosystem.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and actionable insights for automotive product optimization
- Develop and maintain automated reporting dashboards using SQL, Python, and Power BI
- Collaborate with cross-functional teams to translate business requirements into analytical solutions
- Present findings to executive stakeholders through compelling visualizations and data narratives
- Implement A/B testing frameworks to validate product hypotheses and drive feature enhancements
- Maintain data integrity through rigorous quality control and documentation practices
- Stay current with industry advancements in data analytics and machine learning applications
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 5+ years of progressive experience in data analysis or business intelligence
- Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Power BI/Tableau)
- Strong experience with statistical modeling and hypothesis testing methodologies
- Proven ability to translate complex data into actionable business recommendations
- Excellent communication skills with ability to present to non-technical stakeholders
- Experience working in automotive or manufacturing technology preferred
- Ability to thrive in fast-paced environments with competing priorities