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Analytics Engineer

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Findigs is on a mission to make residential leasing faster and fairer. Moving into a new rental should be neither opaque nor a clunky experience. Backed by tier-1 investors across venture capital and real-estate, we're looking for A players eager to make an out-sized impact at a rapidly growing startup. Our culture is mission-driven, collaborative and ego free.

We’ve started by rethinking the rental application and screening processes from the ground up. Since launching our product, we've seen explosive demand from building operators looking to use tech to make their leasing better. Every day, our technology plays a role in deciding where people live. Housing (shelter) is essential, so we have a responsibility and mandate to get it right. Findigs does not just make it easier to apply or be evaluated for a new place — our team is committed to making the process more transparent, inclusive and awesome.

You will

  • Design and innovate new customer reports and internal dashboards, partnering with internal stakeholders across business roles and clients
  • Research, propose, and implement embedded analytics to feature in our flagship application
  • Design, build, and maintain data warehouse tables, pipelines, and processes, partnering with our engineering and product teams
  • Take an active role in shaping and implementing DataOps, data governance, schema design, and architectural coherence in our warehouse
  • Shape the future of our nascent data delivery APIs
  • Manage our reverse ETL reporting stack for business-critical report delivery to our property manager customers

Qualifications

  • 3-4 years of experience
  • You are a data engineer with experience and talent in business intelligence / analytics, or a business analyst with experience and talent in data engineering. Either way, you have a genuine curiosity about property tech and the housing industry in general. You care about the meaning of the data as much as you do about its successful processing.
  • Musts: SQL, Git/GitHub, BI tool experience (Lightdash, Looker, Tableau, or other), ETL tool experience (dbt or similar), basic Excel (including pivot tables), basic AWS (S3, CLI, etc.), comfort with and aptitude for oral and written presentation
  • Pluses: Snowflake, dbt (especially Semantic Layer), HighTouch, FiveTran; experience with data stack design decisions
  • Bonus Points: Scheduling tool experience (AirFlow or similar), Python 3+, AWS lambda, statistical background

What We Offer

  • Our distributed team works from any USA location allowing you to have your preferred work mode
  • We are headquartered in NYC, if that’s local to you and you want to work in our Soho office you can
  • We are a mission driven company with a balanced and enjoyable workplace
  • Competitive base salary + Pre-IPO equity + Benefits
  • Unlimited paid time off – a minimum of two weeks required + mental health Friday once a month + 100%% healthcare coverage, 401k matching up to 5%%, gym comp, and snacks for days

Compensation disclosure as required by NYC Pay Transparency Law $100,000 - $185,000 + bonus + equity + benefits

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