Staff Data Analyst, Growth

MongoDB•New York, NY

4h•Hybrid

About The Position

As a Staff Data Analyst, Growth, you will lead rigorous statistical analyses and experiment design to uncover causal relationships, optimize strategies, and enable data-driven decision-making at scale. You will play a key role in ensuring our experiment infrastructure, analytical pipelines, dashboards, and methodologies are robust, automated, and scalable, driving innovation in how we leverage data to power product and user insights. This role requires someone with strong statistical and technical skills, who is comfortable working across multiple functional areas in a fast-paced, challenging environment, and explaining complex quantitative concepts to a variety of audiences. Your ideal mix of curiosity, technical expertise, and collaborative spirit will allow you to become a trusted partner and the go-to expert for interpreting complex experiments, identifying key drivers of growth, and championing best practices in data analytics. We are looking to speak to candidates who are based in New York City for our hybrid working model.

Requirements

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
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
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

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