Job description

Report: This position reports to Director of Data and ML Solutions

Position: We are looking for a data analyst to support the Glooko Data Products team. This includes:

  • conducting analyses to help us better understand our users, clinics, and devices,
  • identifying and interpreting user patterns/trends/anomalies, and
  • communicating analysis results,
  • develop and ensure successful delivery of data shares with partners,
  • preparing customer billing reports and dashboards.

This is an individual contributor role. You will spend:

  • 75% of your time coding, analyzing data, and creating reports/dashboards, and
  • 25% of your time communicating with internal and external stakeholders.

Areas of Responsibility:

  • Analyzing complex business problems using data from internal and external sources.
  • Processing and exploring data, discovering patterns/trends, and identifying anomalies.
  • Performing statistical analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.
  • Interpreting trends and patterns in datasets to guide data-driven decisions.
  • Using data visualization and BI tools to generate dashboards, reports, and presentations to aid in data storytelling.
  • Developing, monitoring, and maintaining growth and engagement metrics.
  • Gathering requirements, standardizing/automating reports, and providing insights.
  • Producing datasets, reports, and dashboards.
  • Developing new data exports according to identified business needs and requirements.
  • Supporting, managing, and scaling internal ad hoc analysis requests. This includes external and internal Support Sales, Account Management, & Customer Success teams.

Contributing to Glooko’s Data Science Team:

  • Submitting version-controlled code with test coverage.
  • Completing code reviews.
  • Researching methodology, tools, and frameworks for data analytics.
  • Engaging in technical discussions, participating in technical designs, and presenting technical ideas.
  • Making informed technology choices after due diligence and impact assessment.

Characteristics of the person we are looking for:

  • You are a data-nerd. You love data and can tell a story with data and visualization in a calm, clear, and concise manner.
  • You are meticulous in everything you do.
  • You like writing code and automating processes.
  • You are continuously looking for opportunities to learn, build skills, and share what you learn.
  • You have a bias for action. Will thrive in a fast-paced, changing environment with limited structure that requires flexibility, resourcefulness, being efficient, and communicating effectively in a remote environment.


  • Experience/expertise in the following:
  • SQL,
  • Python,
  • BI dashboards,
  • Version control tools,
  • Bonus: Experience with Metabase
  • Bonus: Automated testing frameworks (e.g., Pytest, Unittest, or Nose),
  • Bonus: Understanding of machine learning algorithms and principles
  • A degree in a quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Engineering, Quantitative Social Science, or Data Science. See experience requirements for each of the different Levels below.
  • Strong time management skills and ability to thrive in a fast-paced environment with competing and shifting priorities.
  • Strong interpersonal and communication skills across all levels of the organization. You can explain technical issues to both technical and non-technical business partners.
  • Commitment to individual and team success.

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