Job Description
Drive Insights. Shape Strategy. Lead the Future.
Innovate Detroit Analytics is looking for a dynamic and detail-oriented Data Analyst to join our growing team in the heart of the Motor City. In this role, you will serve as the bridge between raw data and actionable business intelligence, helping to uncover trends that drive our strategic growth.
We offer a competitive salary, a collaborative culture, and the opportunity to work on high-impact projects. If you have a knack for numbers and a passion for storytelling through data, we want to meet you.
What You Will Do:
- Lead Data Strategy: Own the end-to-end analysis of complex datasets to support key business initiatives.
- Visualize Impact: Design intuitive dashboards and reports (using Tableau/PowerBI) that make data accessible and actionable for stakeholders.
- Clean & Optimize: Ensure data integrity by performing rigorous cleaning, integration, and modeling processes.
- Collaborate: Partner with product managers and engineers to define requirements and answer critical business questions.
- Forecasting: Utilize historical data to build predictive models for future performance and risk assessment.
Responsibilities
- Collect, process, and perform statistical analyses on large, complex datasets to identify trends and patterns.
- Design and maintain data models and databases to ensure data integrity and accessibility for stakeholders.
- Create visualizations, dashboards, and executive summaries using tools like Tableau or PowerBI to communicate findings effectively.
- Collaborate with cross-functional teams to define questions, find answers, and solve business problems.
- Identify new business opportunities and areas for process improvement through rigorous data analysis.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of professional experience in data analysis or business intelligence.
- Strong proficiency in SQL for querying databases.
- Experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Proficiency in programming languages like Python or R is a plus.
- Excellent communication skills with the ability to translate technical findings for non-technical audiences.