Skip to content
ITA Jobs
All vacancies

Data Analytics Manager

Ashby

Remote · United States$12,500–20,000 gross/mofull-timeAshby Careers

About this Role 👋 Hi, I’m Kevin. I manage the Data team and our analytics products at Ashby. I’m hiring our first Data Analytics Manager at an important point in Ashby’s growth, and I hope you have the patience to read a job posting that may be a little unconventional.

Responsibilities

  • To understand the role, it helps to understand how our team works today.
  • Data Analysts at Ashby are full-stack members of the Data team. We do not have a traditional split where Analytics Engineers build models and Data Analysts perform analysis only on prepared datasets. Our analysts work across raw and modeled data, contribute to dbt models and metric definitions, conduct deep analysis,…
  • As a rough sketch, the team receives work through a standardized request process. Anyone can make a request; we triage it, assess the actual need, and decide whether it can be addressed quickly or should become a more deliberate project with a kickoff and plan. We do not currently organize ourselves around universal…
  • Ashby’s Operating Principles place principled thinking ahead of reflexively leaning on prior experience or convention. In practice, that means work at Ashby does not always start with “let’s get all the data and metrics.” Data is one useful tool for resolving uncertainty; it is not automatically the first or only tool.…
  • Why You Should or Shouldn’t Apply
  • At Ashby’s current size, this is a player-coach role. You should expect to get hands-on with analytical work as you learn the business and the team, and to remain close enough to the work to guide its quality well.
  • You could be a strong fit if you
  • Have exceptional analytical judgment. You can calibrate the depth and rigor of an analysis to the decision at hand: knowing when precision matters, when uncertainty is material, and when additional work would not change the outcome.
  • Can produce and evaluate transparent, rigorous analysis. You bring readers along through the problem context, data considered, assumptions, meaningful cleaning or reduction steps, caveats, statistical pitfalls, and practical conclusion.
  • Are a strong visual and written communicator. You care about clear tables and charts, meaningful labels and definitions, coherent narratives, and making complex work understandable without overstating certainty.

Languages

    Work format
    Remote
    Seniority
    Lead
    Posted
    15 Oct 2026
    Last verified
    In the last 5 days

    Similar roles

    Keep looking