MLabs
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 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.
Responsibilities
Build and maintain core data models that serve both internal analytics and client‑facing insights.
Design and operate data pipelines that transform raw data sources into clean, analytics‑ready tables.
Create dashboards and reporting tools that drive performance visibility and decision‑making across Product, Operations, and Go‑to‑Market teams.
Define and enforce metric consistency across teams, including core business KPIs and product usage definitions.
Help improve and scale our analytics stack (GCP BigQuery, Dataform, Fivetran, and Postgres).
Collaborate with cross‑functional stakeholders (product, ops, growth, leadership) to understand data needs and translate them into reliable systems.
Contribute to internal data culture through documentation, education, and code quality standards, helping define best practices for analytics engineering.
Requirements
2 to 6 years of experience in analytics engineering, data engineering, or a technical data analyst role with production ownership.
Expert proficiency in SQL.
Experience with modern data transformation tools such as dbt or Dataform.
Experience designing and operating robust data pipelines (ETL tools like Fivetran are a plus).
Experience with modern cloud data warehouses (e.g., GCP BigQuery).
Low‑ego, hungry to learn, and able to act like an owner, committing to intense, impactful work.
Strong communication and collaboration skills with both technical and non‑technical stakeholders.
Preferred Qualifications
Familiarity with Python for data scripting.
Experience with dashboarding tools such as Metabase.
Experience in the Healthcare or Life Sciences industries.
Benefits
Impact: Opportunity to accelerate the delivery of life‑changing therapeutics and build a critical channel for new therapies.
Compensation: Competitive salary and equity package.
Growth: Rapid career progression through intense, impactful work and high autonomy.
Work Policy: 100% On‑site, five days a week, in our New York City office fostering high‑bandwidth collaboration.
Visa Support: Sponsorship available.
Team: Fast‑moving company backed by leading investors such as Thrive Capital and General Catalyst.
Commitment to Equality and Accessibility At MLabs, we are committed to equal opportunities for all candidates. No discrimination and accessible job adverts are ensured. If you need any reasonable adjustments during the hiring process or would like to see the job advertisement in an accessible format, please email
human‑resources@mlabs.city . You may request deletion of your data or withdraw your consent at any time by contacting
legal@mlabs.city .
#J-18808-Ljbffr
We are a rapidly growing, well‑funded technology company 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.
Responsibilities
Build and maintain core data models that serve both internal analytics and client‑facing insights.
Design and operate data pipelines that transform raw data sources into clean, analytics‑ready tables.
Create dashboards and reporting tools that drive performance visibility and decision‑making across Product, Operations, and Go‑to‑Market teams.
Define and enforce metric consistency across teams, including core business KPIs and product usage definitions.
Help improve and scale our analytics stack (GCP BigQuery, Dataform, Fivetran, and Postgres).
Collaborate with cross‑functional stakeholders (product, ops, growth, leadership) to understand data needs and translate them into reliable systems.
Contribute to internal data culture through documentation, education, and code quality standards, helping define best practices for analytics engineering.
Requirements
2 to 6 years of experience in analytics engineering, data engineering, or a technical data analyst role with production ownership.
Expert proficiency in SQL.
Experience with modern data transformation tools such as dbt or Dataform.
Experience designing and operating robust data pipelines (ETL tools like Fivetran are a plus).
Experience with modern cloud data warehouses (e.g., GCP BigQuery).
Low‑ego, hungry to learn, and able to act like an owner, committing to intense, impactful work.
Strong communication and collaboration skills with both technical and non‑technical stakeholders.
Preferred Qualifications
Familiarity with Python for data scripting.
Experience with dashboarding tools such as Metabase.
Experience in the Healthcare or Life Sciences industries.
Benefits
Impact: Opportunity to accelerate the delivery of life‑changing therapeutics and build a critical channel for new therapies.
Compensation: Competitive salary and equity package.
Growth: Rapid career progression through intense, impactful work and high autonomy.
Work Policy: 100% On‑site, five days a week, in our New York City office fostering high‑bandwidth collaboration.
Visa Support: Sponsorship available.
Team: Fast‑moving company backed by leading investors such as Thrive Capital and General Catalyst.
Commitment to Equality and Accessibility At MLabs, we are committed to equal opportunities for all candidates. No discrimination and accessible job adverts are ensured. If you need any reasonable adjustments during the hiring process or would like to see the job advertisement in an accessible format, please email
human‑resources@mlabs.city . You may request deletion of your data or withdraw your consent at any time by contacting
legal@mlabs.city .
#J-18808-Ljbffr