Responsibilities
- Clean, manipulate and analyze large, complex data sets, spanning a wide variety of sources.
- Meet the analytical needs of teams such as operations, marketing, finance, accounting and product.
- Drive the direction of the company through a mix of meticulous research and creativity.
- Research and recommend actionable solutions to nebulous business problems based on often unclean data.
- Generate and maintain reports and dashboards for internal and external consumers.
- Alongside business stakeholders and engineers, reconcile crucial data integrity issues.
- Communicate analysis results with effective storytelling.
- Inform our other data science and data engineering teams of broader business needs.
Requirements
- Experience with SQL to pull, join and explore data generated by many disparate sources.
- Strong communication skills and have worked with different business functions and stakeholders outside of analytics.
- Comfort in tackling very broad data domains
- Expertise of SQL queries, , A/B Testing, and statistical analysis with statistical packages, such as R or Python