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Analytics Engineer

AcuityMD LogoAcuityMD
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Location

Remote

AcuityMD is the first software and data platform designed to commercialize medical technologies and accelerate patient access to cutting edge products. We already work with some of the biggest names in MedTech, and there’s boundless opportunity for growth. We are hiring Analytics Engineers to build, transform and deliver AcuityMD’s Core Data assets.

In this role, you will build and refine AcuityMD’s data assets and products and you will extend our data platform capabilities. You will build data pipelines to obtain new data, improve quality and coverage of existing data, and transform these data into a scalable platform that fuels our medtech specific modules. You will report to the Engineering Manager, Data and work cross-functionally with engineering, product and other teams.

Team Mission

We are building a world-class data products team to meticulously craft and deliver data assets and algorithms that enable new workflows and solve customer problems. Our data is as specialized as the MedTech products that save lives each day. Our team explores and models data, and prototypes, productizes and improves data transforms and pipelines to meet the needs of our users. We are looking for analytics engineers to transform our data, and bring new data assets and algorithms to life.

Our team applies principles from software engineering to analytics code, including version control, continuous integration and development, and orchestration. We make it easy for stakeholders to easily navigate and locate data, and understand the transforms that produced it.

We strongly encourage people of all backgrounds to apply.

Responsibilities

  • Empathize with new data and prototype new data products to inform the overall roadmap
  • Transform, model and deliver raw data into usable, documented data products at an appropriate quality to application and business consumers
  • Work directly with cross-functional stakeholders to collect business requirements and subject matter expertise to design data models and success outcomes or quality criteria
  • Communicate and disseminate technical and domain-specific learnings to a wide range of stakeholders
  • Implement and measure key metrics alongside data transforms to maintain and improve data quality over time

Your Profile

  • You have 3+ years of analytics engineering experience
  • You have built complex data transforms and pipelines as part of a cross-functional team
  • You have demonstrated ability to explore, transform, and analyze data using SQL. Must have experience using Looker.
  • You have experience with data orchestration tools
  • You communicate complex business concepts, technical requirements, recommendations and code clearly and concisely
  • You pay strong attention to detail

Nice to Haves

  • You have built healthcare-specific data transforms as part of a cross-functional team
  • You are familiar with healthcare datasets and workflows
  • You seek hard analytical problems and are comfortable with ambiguity
  • You have a deep desire to understand how your downstream users actually consume your data

The Tech Stack

Our stack is primarily Typescript and Go, running on GCP with a PostgreSQL database. We also use React, Temporal, Hasura, GraphQL, Elasticsearch, Git, Docker, and Kubernetes.

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