Data Science Analyst
About the role
We are seeking a Data Science Analyst to join our team. This role involves not just reporting on performance but also interpreting data to drive decision-making. The ideal candidate will have 2-5 years of experience in data science or advanced marketing analytics, combining marketing domain expertise with technical data science rigor.
Responsibilities
- Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
- Aid in designing and executing reporting, analytics, and optimization briefs.
- Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
- Perform analysis to uncover actionable insights and develop data-driven recommendations.
- Present findings to internal and client stakeholders in a clear, business-focused way.
Requirements
- Strong command of R and/or Python for data manipulation and statistical analysis.
- Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design.
- Familiarity with causal inference methods is a significant plus.
Qualifications
- Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
- Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
- Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
- Bonus Points: Ability to perform analysis to uncover actionable insights and develop data-driven recommendations.
Skills
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience with data visualization tools such as Tableau or Power BI is a plus.
Benefits
Our total rewards program includes a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Pay
Details on pay are not specified at this time.
Schedule
Details on schedule are not specified at this time.
Skills
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience with data visualization tools such as Tableau or Power BI is a plus.
Benefits
Our total rewards program includes a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Pay
Details on pay are not specified at this time.
Schedule
Details on schedule are not specified at this time.