Senior Analytics Engineer

4 weeks ago


New York, New York, United States Hashboard Full time

Hashboard is building a BI platform that makes analysts, engineers, *and* end-users all love data again.

We are a well-funded, ambitious Seed-stage New York City startup backed by top-tier product and data investors. Our team has experience as early employees of successful startups and in big tech. And we might be a great fit for the next step in your career if you're excited about having a lot of ownership over your work, learning from sophisticated customers and investors, building a world-class engineering culture, and holding a lot of equity in a fast-growing startup.
Hashboard has an office-first culture and our team collaborates 4+ days per week on location at our office in SoHo, New York.


Hashboard builds analytics tools and our first Analytics Engineer will become an expert in our tools and how they integretate with the broader data stack. Your mission is to help us drive our product vision by seeing first-hand the strengths and weaknesses of our product. You will work closely with existing and prospective customers; advising them on how to use Hashboard effectively and will preach the power of building powerful data products within their organizations.

The AE will also be deeply involved in developing Hashboard, figuring out how we can use our data to make our product better and how to product can surface the most relevant information to our customers.

About you:

  • You are value-seeking. It's early and there are a lot of places we can focus our energy; you are vigilant about how you expend your own energy and how you direct the team to expend their energy.
  • You're self-motivated and constantly driving the product and the vision of the company forward.
  • You have excellent written and verbal communication.
  • You have strong analytical skills, strong knowledge of SQL and python.
  • You have deep knowledge of modern data tools: including integration frameworks (eg. fivetran), transformation tools (eg. dbt) and BI tools.

Nice-to-have:

  • You have some customer-facing experience.
  • Strong data visualization skills or willingness to learn.

Compensation Ranges:



Base: 135K - 175K



Equity: %



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