Senior Analytics Engineer at Maven

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

200000.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Visualization, Python, R, Data Modeling, Data Quality, Analytics Engineering, Git, CI/CD, Documentation, Testing, Business Intelligence, Data Transformation, Collaboration, Communication, Mentoring

Industry

Hospitals and Health Care

Description

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) Maven is looking for an experienced Senior Analytics Engineer to join our Core Analytics team to help drive the technical vision and the strategic projects to build and maintain the modeled data layer and semantic layer that power data-driven decision-making as our business scales. As a part of Maven’s Data organization, you will sit at the intersection of Data Engineering and Analytics, transforming raw data into clean, reliable, well-documented datasets and metrics that our Client Success, Finance, Sales, and Marketing teams rely on everyday. You will be a key partner in the design, development, and maintenance of highly scalable data models and reporting layers that enable key cross-functional teams to self-serve critical business metrics with confidence. As a Senior Analytics Engineer at Maven, you will: Design, build, and maintain data models in our cloud data warehouse (e.g., BigQuery) using dbt (or similar tooling), applying strong dimensional and domain modeling practices to support core domains Own the transformation layer from raw and staged data to curated marts, including implementation of dbt models, tests, documentation, and model ownership conventions that enable a consistent “single source of truth” across stakeholders Increase operational efficiency by proactively and rigorously diagnosing pain points in data and reporting workflows and implementing scalable, long-term fixes Promote and exemplify development standards and data quality for analytics engineering work, including Git-based workflows, code review, CI/CD for dbt and BI, clear documentation, and robust testing (dbt tests and other checks) to keep key tables and metrics stable and trustworthy Explore and evaluate new tools and patterns (within the modern data stack, data quality, observability, and BI) that can improve developer productivity, data reliability, and the scalability of Maven’s analytics ecosystem We're looking for you to bring: 5-7 years of relevant analytics or data science experience Fluency in SQL and a strong background in data visualization Hands-on experience with Python or R An ability to juggle both long-term, strategic projects and ad hoc, urgent requests as needed Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor junior analysts Preferred Qualifications: Experience working with Financial and Sales data Experience with at least on BI tool (Tableau, Looker), and/or dbt The base salary range for this role is $170,000 - $200,000 per year. You will also be entitled to receive stock options and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. 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). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com. For general and additional inquiries, please contact us at careers@mavenclinic.com.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

As a Senior Analytics Engineer, you will design, build, and maintain data models in the cloud data warehouse, transforming raw data into reliable datasets. You will also own the transformation layer and increase operational efficiency by diagnosing pain points in data workflows.