Lead Analytics Engineer

Salary

For candidates in NYC the salary range for this role is $190,000 - $240,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

Location

Maven embraces a flexible hybrid work model. Our Engineering & Product teams primarily operate from Seattle, WA, San Francisco/Bay Area, CA, and the New York Metropolitan area, NY. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com.

An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including:

Fortune Change the World (2024)
CNBC Disruptor 50 List (2022, 2023, 2024)
Fortune Best Workplaces for Millennials (2024)
Fortune Best Workplaces in Health Care (2024)
TIME 100 Most Influential Companies (2023)
Fast Company Most Innovative Companies (2020, 2023)
Built In Best Places to Work (2023)
Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)
Great Place to Work certified (2020, 2021, 2022, 2023, 2024)
Fast Company Best Workplaces for Innovators (2022)
Built In LGBTQIA+ Advocacy Award (2022)

About the team:

As a Revenue Analytics Lead at Maven, you will design and develop backend data models that drive the key metrics and insights supporting the Go-to-Market, Revenue Operations, Finance, and Customer Success teams. In this role, you’ll gain a deep understanding of reporting requirements while fostering strong cross-functional ties with Engineering, Business Insights, and Product teams to drive impactful change. Your primary focus will be on building a scalable, efficient data infrastructure that serves as the backbone for analytics and insight generation.

As a Revenue Analytics Lead at Maven, you will:

Design and maintain Maven’s data transformation and analytics infrastructure to support Revenue Operations, Finance and Go-to-Market (GTM) teams
Build tools to automate enrollment forecasts, integrating key inputs from Customer Success, Member Growth Marketing (MGM), and Strategic Finance teams
Partner with the GTM Architect, Salesforce Admin, and account leaders to design and develop data structures for financial and GTM reporting. Cleanse and integrate historical datasets while implementing data governance to ensure accuracy and consistency (primarily using SQL and Python)
Develop an understanding of Salesforce to effectively structure and utilize data, enabling comprehensive reporting on the deal lifecycle—from lead generation to revenue recognition
Drive operational efficiency by identifying areas for process improvement and recommending highly scalable solutions
Act as a bridge between Revenue Operations, Product, Finance, Business Intelligence, and Engineering teams to optimize data structures and maximize actionable insights.

We’re looking for you to bring:

7+ years of relevant analytics or data science experience
2+ years of experience SaaS and/or enterprise software business models
3+ years developing revenue reporting and forecasting models
Fluency in SQL with proficiency in SQL development
Hands-on experience with Python or R
Ability to translate business requirements into technical specifications
Proficient in using data modeling and visualization platforms; Looker is a plus
Skilled in leveraging tools like dbt for cleaning, transforming, testing, and deploying analytics-ready datasets.
Experienced in managing and working with Data Lakes or Data Warehouses such as Snowflake, Trino, Redshift, and BigQuery.
Strong communication skills, with the ability to collaborate effectively and translate complex datasets or queries into clear, accessible insights for non-technical audiences.
Familiar with working with APIs for data integration and analysis
Ability to learn general functional and technical aspects of firm's Financial and GTM systems whenever required
Strong knowledge of Salesforce data structures
Experience with Netsuite and forecasting applications is a plus

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