Analytics Engineer

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

• Data Modeling: Build and maintain the core data models that serve as the foundation for both internal analytics and client-facing insights.
• Pipeline Design: Design and operate the data pipelines that transform raw data sources into clean, analytics-ready tables.
• Reporting Infrastructure: Create dashboards and reporting tools that drive performance visibility and decision-making across Product, Operations, and Go-To-Market (GTM) teams.
• Metric Consistency: Define and enforce metric consistency across teams, including core business KPIs and product usage definitions.
• Stack Scaling: Help improve and scale our analytics stack (which includes GCP BigQuery, Dataform, Fivetran, and Postgres).
• Collaboration: Work closely with cross-functional stakeholders (product, ops, growth, and leadership) to understand data needs and translate them into reliable systems.
• Data Culture: Contribute to internal data culture through documentation, education, and code quality standards, helping to define our analytics engineering best practices.

• Experience: 2 to 6 years of experience in analytics engineering, data engineering, or a technical data analyst role with production ownership.
• Core Skills: Expert proficiency in SQL.
• Modeling Tools: Experience with modern data transformation tools (e.g., dbt, Dataform).
• Pipeline Tools: Experience designing and operating robust data pipelines (familiarity with Fivetran or similar ETL tools is a plus).
• Data Warehouse: Experience working with modern cloud data warehouses (e.g., GCP BigQuery).
• Mindset: Low-ego, hungry to learn, and able to "act like an owner," committing yourself to intense, impactful work.
• Collaboration: Strong ability to communicate and collaborate effectively with both technical and non-technical stakeholders.

Preferred Qualifications:

• Familiarity with Python for data scripting.
• Experience with dashboarding tools (e.g., Metabase).
• Experience in the Healthcare or Life Sciences industries.

• Impact: A unique opportunity to apply your skills to accelerate the delivery of life-changing therapeutics and build the most effective channel to develop and launch new therapies.
• Compensation: Competitive salary ($150,000 - $200,000) and competitive equity package.
• Growth: An environment that promotes rapid career progression through intense, impactful work and a high level of autonomy.
• Work Policy: 100% On-site role, five days a week, in our New York City office, fostering high-bandwidth collaboration.
• Visa Support: Visa sponsorship is available for this position.
• Team: Join a fast-moving company backed by leading investors (including Thrive Capital and General Catalyst).

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

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