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.