Staff Data Analyst, Growth

Overview

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

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.

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

Skills & Attributes

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

Benefits

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy (https : / / www.mongodb.com / company / blog / culture / employee-benefits-that-make-a-difference-at-mongodb) , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB (https : / / www.mongodb.com / blog / channel / culture) , and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID : 3263237164

MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include : equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB's base salary range for this role in the U.S. is :

$104,000—$205,000 USD

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