onsite
Research Data Analyst II - State Compensation Insurance Fund
Data Analyst
Advanced data analyst role focused on extracting insights from large datasets, building predictive models, and delivering visual analytics using Python, R, SQL, and machine‑learning techniques.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines to collect, clean, and transform large‑scale datasets from multiple sources.
- Perform statistical analysis and build predictive models to support research initiatives and policy decisions.
- Create interactive dashboards and visual reports using tools such as Tableau or Power BI to communicate findings to stakeholders.
- Collaborate with cross‑functional teams to define data requirements, validate assumptions, and ensure analytical rigor.
- Document methodologies, code, and results to promote reproducibility and knowledge sharing.
Requirements
- Bachelor's or higher in Statistics, Computer Science, Economics, or a related quantitative field.
- 3+ years of professional experience in data analysis, statistical modeling, or research analytics.
- Proficiency in Python and R for data manipulation, statistical testing, and machine‑learning model development.
- Strong SQL skills for querying relational databases and handling complex joins.
- Experience with data visualization tools (e.g., Tableau, Power BI) and communicating technical results to non‑technical audiences.
Skills
pythonsqlmachine learning