Job Openings Founding Analytics Engineer

About the job Founding Analytics Engineer

About DubClub

DubClubs software platform allows expert sports analysts (handicappers or cappers) and their followers to win more together. For cappers: DubClub offers a suite of business-building tools. For subscribers / followers DubClub offers superior content delivery and capper discovery. DubClub is founded by a team of Stanford alumni, launched its first product in October 2021 and has scaled rapidly. The Company is backed by Uncork Capital and Will Ventures.


About the role

DubClubs Founding Analytics Engineer will lay the data and analytics framework for DubClub to leverage on its mission for handicappers and subscribers to win more together. This is a full-time position and will require full professional commitment. You will be instrumental in building their data foundation, driving substantial and enduring value for DubClub. As such, the Founding Analytics Engineer will be offered a compensation package with competitive cash compensation and the opportunity to participate meaningfully in DubClubs option pool program.

What youll do

Founding Analytics Engineer Lead Responsibilities:

  • Data stack architecture design and implementation: Work with functional team leads and DubClub leadership to architect, optimize, implement, and iterate on DubClubs data stack and data flows. Build the data foundation on which effective data analytics & data science teams can operate on top of. Own Snowflake as DubClubs data hub.
  • Own data transformation processes: Own Fivetran processes and co-own product data ingestion from Postgres (collaboratively with Senior Engineering Team). Own dbt as a tool.
  • Support analytics projects with data team lead: Collaborate with data team lead on analytics based projects (build on top of Hex).
  • Work with business stakeholders: Support data needs across DubClubs functional pillars.

Must-have skills

  • 3+ years of experience architecting and building scalable data platforms for real-world customers and use cases.
  • Industry experience building production-quality data pipelines using Python, SQL, etc.
  • Experience with data modeling, data warehousing, and building ETL pipelines.
  • Can implement reliable and scalable processes and systems to monitor data quality and data health, ensuring production data is accurate and available for key stakeholders and business processes that depend on it.

Why join

  • $120-140k salary + stock options
  • Impact. You'll be leading the core function within DubClub and building it from the ground up
  • Remote-first working culture. You are encouraged to work from their Chicago office if you prefer in-person work
  • Growth. Stipend available for professional development and Company emphasis on arming team leads with elite third-party coaching.

Start Date: ASAP

Work location: Chicago (can also work remotely)

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