Key skills
PythonSQLRAnalyticsBusiness IntelligenceCommunication
About this role
Role Overview
- Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.
- Collaborate with both technical and non‑technical stakeholders to translate business questions into analytical solutions.
- Support high‑quality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.
- Conduct complex data manipulation and analysis with common programming languages.
- Track and report performance of multiple campaigns.
- Identify deviations and explain variances.
- Consolidate findings for business consumption.
- Develop business intelligence solutions designed to meet business needs.
- Mentor junior team members and engage with peer teams.
Requirements
- Bachelor’s degree and a minimum of 5 years of related experience.
- Experience with data analysis and statistical tools
- Experience working in large databases
- Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).
- Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.
Tech Stack
- Python
- SQL
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Paid volunteer time