MongoDB is looking to hire a Staff Data Analyst, Growth to lead rigorous statistical analyses and experiment design to uncover causal relationships, optimize strategies, and enable data-driven decision-making at scale. The role aims to ensure experiment infrastructure, analytical pipelines, dashboards, and methodologies are robust, automated, and scalable, driving innovation in how data is leveraged for product and user insights.
Requirements
- Proficient in statistical methods for causal inference and applied analytics, with experience designing and interpreting complex experiments and addressing distributional challenges such as skewness and kurtosis
- Strong skills in Python, R, and SQL, with a proven ability to automate workflows and build scalable solutions
- Experience converting analytical workflows and methodologies into reusable tools or packages to increase team adoption and efficiency
Responsibilities
- Surface insights to drive executive decision making across the business
- Apply advanced statistical techniques to identify causal relationships and drive actionable insights for user acquisition, activation, and retention initiatives
- Design and analyze experiments beyond basic A/B testing, leveraging methodologies that improve accuracy and scalability across growth initiatives
- Automate analytical pipelines, develop reporting tools, and maintain certified data codebases to ensure reproducibility, scalability, and efficiency of insights delivery
- Continuously learn about the product, the user ecosystem, and industry best practices to drive innovation and high-quality analysis
- Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes
- Serve as an analytical and technical thought leader to stakeholders across the analytics, marketing, and growth teams
Other
- 7+ years of experience in analytics roles, with at least 5 years working closely with growth or product teams
- Advanced degree (Master's or Ph.D.) in Statistics, Data Science, or a related quantitative field strongly preferred
- Excellent communication skills, capable of explaining complex quantitative concepts to diverse audiences, including non-technical stakeholders
- Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
- Self-motivated, curious, and collaborative, with a commitment to fostering a positive work environment and contributing to the team’s success
