Job Description
Join Nexus Analytics as a Senior Data Analyst and become the driving force behind data-driven decision-making in Chicago's vibrant tech scene. We're seeking a passionate professional to transform complex datasets into actionable insights that propel our clients' growth. You'll collaborate with cross-functional teams to solve critical business challenges using cutting-edge analytics tools and methodologies. Our Chicago headquarters offers a dynamic, inclusive environment where your expertise will directly impact strategic initiatives across multiple industries. If you thrive in fast-paced settings and want to make measurable impacts through data, this is your opportunity to excel.
Responsibilities
- Design and implement end-to-end data analysis workflows to extract, clean, and transform raw data into actionable insights
- Develop interactive dashboards and reports using Tableau and Power BI to visualize KPIs and performance metrics
- Conduct statistical analysis and A/B testing to identify trends and provide strategic recommendations
- Partner with product and marketing teams to optimize campaigns through data-driven insights
- Automate reporting processes using SQL and Python to improve efficiency and accuracy
- Maintain data integrity by implementing quality control measures and documenting methodologies
- Present findings to executive stakeholders through compelling data narratives and visualizations
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 5+ years of progressive experience in data analysis or business intelligence roles
- Advanced proficiency in SQL, Python (Pandas, NumPy), and R for data manipulation
- Expertise in data visualization tools (Tableau, Power BI, D3.js)
- Strong statistical analysis skills with experience in hypothesis testing and regression modeling
- Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions
- Proven ability to translate complex data into business recommendations for non-technical audiences
- Portfolio demonstrating impactful data projects with measurable results