Job Description
Join our innovative team as a Senior Data Analyst and transform raw data into actionable business insights from the comfort of your home office in Chicago! We're a fast-growing tech company revolutionizing how organizations leverage data, and we're seeking a talented individual to drive our analytics initiatives forward. This fully remote role offers the flexibility to work while making a tangible impact on our strategic decisions.
You'll collaborate with cross-functional teams to identify opportunities, optimize processes, and deliver compelling data visualizations. Our ideal candidate thrives in a dynamic environment, possesses strong technical skills, and communicates complex concepts with clarity. If you're passionate about uncovering hidden patterns and driving data-informed strategies, we want to hear from you!
Responsibilities
- Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
- Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
- Develop predictive models to forecast market trends and customer behavior
- Collaborate with product teams to define KPIs and track performance metrics
- Present findings to leadership through concise, data-driven narratives
- Maintain data integrity through rigorous validation and quality control processes
- Stay current with industry best practices in analytics and visualization techniques
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- 4+ years of professional data analysis experience with remote work preference
- Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
- Advanced experience with data visualization tools (Tableau, Power BI, Looker)
- Strong business acumen with ability to translate data into strategic recommendations
- Excellent communication skills with experience presenting to non-technical audiences
- Experience working with large datasets and cloud platforms (AWS/GCP)
- Portfolio demonstrating impactful data-driven projects