Job Description
We are seeking a results-driven Data Analyst to join our innovative team in Detroit, MI. In this critical role, you will transform complex datasets into actionable business intelligence that drives growth and efficiency. We are currently offering urgent hiring opportunities with flexible remote options for top talent.
As a key member of our analytics team, you will work closely with stakeholders to define data requirements, build predictive models, and present insights that shape our strategic direction. If you are passionate about uncovering the stories hidden within data, we want to hear from you.
Responsibilities
- Data Mining & Cleaning: Extract, clean, and validate large datasets from various sources to ensure accuracy and integrity for analysis.
- Statistical Analysis: Perform advanced statistical analysis and modeling to identify trends, correlations, and anomalies within the data.
- Dashboard Creation: Develop interactive dashboards and visualizations using tools like Tableau or PowerBI to communicate insights to non-technical stakeholders.
- Forecasting: Build forecasting models to predict future trends and support business planning and budgeting.
- Reporting: Generate comprehensive reports and executive summaries highlighting key performance indicators (KPIs) and business opportunities.
- Collaboration: Partner with cross-functional teams (marketing, finance, operations) to understand their data needs and provide technical solutions.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Experience: 3+ years of professional experience in data analysis, business intelligence, or a related analytics role.
- Technical Skills: Strong proficiency in SQL, Python, or R. Experience with ETL processes and data warehousing is highly preferred.
- Visualization: Expert-level experience creating visualizations in Tableau, PowerBI, or similar tools.
- Problem Solving: Strong analytical mindset with the ability to troubleshoot complex data issues and derive logical conclusions.
- Communication: Excellent verbal and written communication skills, with the ability to translate technical findings into business value.