Fintech

Data Analyst

Remote (USA, Europe)
IT & Cybersecurity

About Us

AngelList is a small group of former & future founders helping startups change the world. Our mission is to decrease the frictions that get in the way of startups becoming great companies.

After a few years of developing paid products to help startups recruit better & faster (see AngelList -- https://angel.co/recruit/products/curated), we're scaling out our business operations (Sales, Client Ops, and Candidate Ops) to keep up with customer demand. Our business teams work primarily on AngelList Curated, our premium product/service built to solve the biggest challenge startups face: finding and hiring the best tech talent.

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Job Description

We're hiring to build out our internal Data team, and specifically a Data Analyst to build on our data-driven approach. Someone with an understanding of quantitative analysis. This is a junior to mid level position. You'll partner with various teams to improve our products and grow our business.

We believe there is huge potential here. We have a treasure trove of structured marketplace data going back years.

This is a fully remote position.

You will:

  • Perform quantitative analysis to understand how our users interact with our products
  • Form hypotheses about our products and develop experiments to test them
  • Partner with our product, sales, and operations teams to solve problems and identify trends and opportunities
  • Pull data, build dashboards, and keep a watchful eye on the overall health of our marketplace
  • Develop interesting insights about our marketplace to drive data-driven content marketing
  • Promote data fluency across the team

You have:

  • Experience as a data analyst working with large scale datasets (Ideally at a startup or mid-size tech company)
  • Experience with working independently on projects, but also collaborating cross-functionally
  • Experience with Excel or a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience with SQL

Bonus skills/experience:

  • Experience working with Sales and/or Finance teams
  • Domain familiarity
  • Coding experience in at least one of {Python, Ruby, Perl, R, Matlab}
  • Experience analyzing marketplace products
  • Degree in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering)
  • Strong verbal and communication skills -- you can paint a compelling narrative with data!
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