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Analytics Engineer



Data Science
Boston, MA, USA
Posted on Thursday, August 24, 2023
OM1 is on a mission to improve health outcomes by unlocking the power of data. We are a healthcare data and technology company focused on real world clinical data and outcomes, accelerating medical research and personalizing healthcare. Our interdisciplinary team uses expertise in medicine, software, Big Data, machine learning, public health and mathematics to transform records from a diverse set of sources into enriched, research grade data which allows us to generate unique insights in a variety of disease areas.
As an Analytics Engineer, you’ll leverage platform tools and craft code to transform large volumes of clinical data into analysis-ready datasets for use in our products, services, and operations. The ideal candidate is a smart, creative, and curious analytical thinker who demonstrates strong data modeling skills and an aptitude for clinical data analysis. This is a key role within our cross-functional team, with responsibility for driving our high standards and further enriching our products and services.

What You'll Do at OM1

  • Develop robust analytical models that empower the analysis of our clinical data assets, aid our researchers in generating insights from the data, and provide value in our products and services.
  • Leverage a suite of tools to craft high-quality, well-tested production code that builds, maintains, and utilizes data models across our modern data stack.
  • Work cross-functionally with Product, Engineering, and Research teams to ensure correctness, clinical validity, and analytical usefulness of data models
  • Drive the utilization, visualization, and understanding of our data assets and data models throughout the business.
  • Support the documentation, discoverability, and governance of our data assets and data initiatives.
  • Design and author technical specifications that will capture key business requirements and transform them into functional data assets.
  • Aid in administering our data platforms and tooling.

What Experience You'll Bring

  • 1-2 years minimum of Analytics Engineering experience or 4-5 years minimum of analyst experience with a focus on technical tooling and model development.
  • Experience analyzing or modeling healthcare data.
  • Excellent data analysis and modeling skills using tools such as SQL, DBT, Python, Databricks, or other analytics frameworks
  • Strong relational database knowledge with Snowflake, SQL Server, or similar
  • Proficiency building data applications and visualizing data in Power BI or expertise in a similar tool such as Tableau, Superset, Streamlit, or Hex.
  • Familiarity with tooling throughout the ELT process, such as Airbyte, FiveTran, Snowpipe, DBT, PowerQuery, Airflow, etc.
  • Understanding of data modeling principles and professional experience developing data models.
  • Comfort working in an agile development environment
  • Excellent attention to detail and focus on quality
  • Great collaboration skills, especially with clinical experts and SMEs

What's Nice to Have

  • Proficiency with modeling and querying frameworks such as DAX/Vertipaq, LookML, Cube, MetricFlow, etc, are a plus.
  • Domain knowledge from hands-on experience in a healthcare or clinical business setting or degree in a clinical or life sciences discipline.
  • Experience working in and understanding database principles of modern cloud environments like Snowflake.
  • Experience developing analytical assets used in products or software applications.
If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
OM1 is an equal employment opportunity employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, religion, race, veteran or disability status. At OM1 ensuring that people feel respected, valued, and included is essential to our success. We are committed to working together to provide a work environment that embraces the principles of diversity, equity, and inclusion.