Job Description
Join Nexus Analytics Group as a Senior Data Analyst and become the driving force behind data-driven decision-making in Chicago's thriving tech ecosystem. We're seeking a strategic thinker to transform complex datasets into actionable business insights that fuel our clients' growth. In this high-impact role, you'll collaborate with cross-functional teams to uncover market trends, optimize operations, and deliver compelling visualizations that influence executive strategies.
Our ideal candidate thrives in fast-paced environments and possesses exceptional analytical skills combined with business acumen. You'll work with cutting-edge tools and methodologies to solve real-world challenges while mentoring junior analysts. This is your opportunity to elevate your career in a company that values innovation and professional development.
Responsibilities
- Design, develop, and maintain scalable data pipelines using SQL, Python, and cloud platforms
- Create advanced visualizations and dashboards in Tableau/Power BI to communicate complex findings
- Conduct statistical analysis and A/B testing to validate hypotheses and drive product improvements
- Collaborate with stakeholders to define KPIs and build automated reporting frameworks
- Lead ad-hoc analysis projects to uncover revenue optimization opportunities
- Mentor junior analysts on best practices in data modeling and interpretation
- Present findings to executive leadership through compelling data narratives
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's preferred)
- 5+ years of experience in data analysis with proven track record of delivering actionable insights
- Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools
- Strong understanding of statistical methods and experimental design
- Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
- Exceptional communication skills with ability to translate technical concepts for non-technical audiences
- Portfolio demonstrating complex data projects and business impact