Job Description
Join our innovative team as a Data Analyst in Chicago and enjoy the unique benefit of daily pay! We're offering full relocation assistance to top talent ready to make an immediate impact. This is your chance to work with cutting-edge data in a city known for its tech scene while enjoying financial flexibility.
As a key member of our analytics division, you'll transform complex datasets into actionable insights that drive strategic decisions. We're seeking a detail-oriented professional who thrives in fast-paced environments and is passionate about uncovering stories hidden in numbers. If you're ready to advance your career in one of America's most vibrant cities, apply today!
Responsibilities
- Analyze large datasets using SQL, Python, and statistical tools to identify trends and opportunities
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Collaborate with cross-functional teams to define KPIs and track performance metrics
- Develop automated reporting systems to streamline data delivery and reduce manual processes
- Conduct A/B testing and hypothesis validation to support product optimization initiatives
- Present findings to leadership through clear, data-driven narratives with actionable recommendations
- Maintain data integrity through rigorous validation protocols and documentation practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis with proven track record of delivering insights
- Expert proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
- Advanced skills in Python (Pandas, NumPy) and R for data manipulation and modeling
- Strong experience with data visualization tools (Tableau, Power BI, Looker)
- Demonstrated ability to translate complex data into business-relevant insights
- Excellent problem-solving skills with attention to detail and accuracy
- Experience with cloud platforms (AWS, GCP) and ETL processes preferred