Senior Analytics Engineer

Full-time | On-site

Location: New York

We are a technology company leveraging AI and data to solve complex operational challenges in a life sciences context. We are seeking a highly motivated Analytics Engineer to build the robust data foundation that powers our operations, client reporting, and strategic growth. This is a high-autonomy, high-impact role essential for driving better, faster decisions across the entire organization.

As an Analytics Engineer, you will be the owner of our core data assets and practices. You will ensure data is clean, consistent, and readily available as a source of truth for all internal and external stakeholders, from product to leadership to key clients.

Key Responsibilities:

• Build and maintain the core data models that serve as the foundation for internal analytics and crucial client-facing insights
• Design and operate robust data pipelines that efficiently transform raw source data into clean, analytics-ready tables
• Create dynamic dashboards and reporting tools that provide performance visibility and drive decision-making across Product, Operations, Growth, and GTM teams
• Define and enforce metric consistency across teams, including establishing core business KPIs and precise product usage definitions
• Improve and scale our analytics stack using tools such as GCP BigQuery and Dataform, Fivetran, Postgres, and various dashboarding tools
• Collaborate cross-functionally with stakeholders across the company to understand data needs and translate them into reliable, scalable systems
• Contribute to internal data culture through high-quality documentation, stakeholder education, and rigorous code quality standards
  
  

Requirements

• This demanding role requires a self-starter with a strong technical foundation in data modeling and warehousing, and a commitment to ownership and success
• 2 - 6 years of experience in Analytics Engineering, Data Engineering, or a technical Data Analyst role with experience in production data ownership
• Expert proficiency in SQL
• Experience with modern data transformation tools (e.g., dbt, Dataform, or similar)
• Familiarity with data warehousing on cloud platforms (e.g., GCP BigQuery)
• Experience operating data ingestion tools (e.g., Fivetran)
• Experience or comfort working with scripting languages like Python is a plus
• A strong desire to "act like an owner," commit to intense, high-impact work, and drive company growth
  
  

Work Policy:

• This is an on-site position requiring attendance 5 days per week in our New York office
• Visa sponsorship is available
  
  

Benefits

We offer a competitive package that rewards high performance and significant impact in a rapidly scaling company environment.

• Salary Range: $150,000 - $200,000 (Base Salary)
• Equity: Competitive equity package in a well-funded, high-growth company
• High Impact: Work that directly supports life sciences client reporting and crucial operational efficiency, providing clear visibility into your contributions
• Career Growth: High level of autonomy and responsibility designed for accelerated career progression
  
  

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 human-resources@mlabs.city.

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