Data Analyst

2 months ago

New York, New York, United States AngelList Full time

About AngelList:

We exist to accelerate innovation by increasing the number of successful startups in the world. We want to give more people the opportunity to participate in the venture economy by building the financial infrastructure that makes it possible for more people to invest in world changing startups, and build tools for startups that help them run their operations so they can focus on building.

AngelList is the nexus of venture capital and the startup community. We support over $14B+ in assets under management. We've driven capital to over 12,000 startups, almost 282 of which are unicorns. 57% of top-tier U.S. VC deals involve investors on AngelList.

While our scale is large, our ambitions are even larger – we're innovating on the financial infrastructure for venture investors and the startups they invest in. Come build with us.

About the Role:

AngelList provides the tools that make it simple for anyone to become a funder or founder. We are looking for a highly analytical and self-motivated Data Analyst who is passionate about using their technical skills to democratize data, metrics, and insights for the team.

Reporting to the Head of Business Operations, you will be working closely with Product leads and the Finance team as their data partner for measurement and insights on key strategic initiatives. The ideal candidate is a self-starter with a track record of establishing success metrics to understand business/product health and turning data into helpful, actionable insights for the entire organization. They will be excited at the prospect of achieving our mission by supporting the next generation of startups.

You will:

  • Be the go-to analyst and data partner for our Finance team and Product leads on key growth initiatives.
  • Develop metrics and dashboards to help leadership across Exec/Finance/Product make data-driven decisions.
  • Conduct data analysis of complex data sets to proactively provide actionable insights.
  • Partner with leads and leverage data to inform, develop, and iterate on strategic business initiatives.
  • Design, build, and maintain BI infrastructureFoster scalability by empowering partners to perform analyses independently

Other characteristics of the ideal candidate:

  • 5+ years experience in a data analysis role
  • You have previously worked in an early-stage company, and you know how to navigate and be successful in a startup environment
  • Ability to problem solve and navigate ambiguity
  • Expert knowledge of SQL
  • Experience designing & implementing data ecosystems, including reporting & dashboards
  • Experience with financial forecast modeling or predictive modeling
  • Strong written and communication skills to engage with non-technical to very-technical audiences

Bonus points (nice skills to have, but not needed):

  • Experience with Python, R, Ruby, or any other scripting language
  • Experience in building analytical tools or data engineering services
  • Experience with statistics, data science

If you don't tick every box above, we'd still encourage you to apply. We're building a diverse team whose skills balance and complement one another.

AngelList has offices in two hub cities: San Francisco and New York City that you can choose to work from. We're focused on hiring within these hubs and people within 1 hour travel distance of the hub offices are expected to come into the office twice per week. From time to time, we will make rare exceptions for new hires if they need to be fully remote.

Benefits: We support our employees in their lives both inside and outside of work.

See additional detail on our benefits here:

Learn about our Funders & Founders Program here:

Learn more about what AngelList has accomplished by checking out some recent things we've published over the last six months: AngelList Confidential 2023

AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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