Joe Naso

I help companies solve their data problems

I come from an atypical background for a data engineer. After working in acquisition marketing, I found myself building systems to support non-technical teams.


Over a number of years at various startups, I've run multiple data teams, and built data platforms for internal and customer-facing initiatives. My teams owned the technical deliverables for $16M+ of projects, built the platforms to help our company scale to $40M+ ARR.

I now run Purview Labs, my solo consultancy helping startups and enterpr…

Joe Naso

Work

Experience

  • Purview Labs

    Purview Labs

    President

    Apr 2022 - Present

    Fractional data engineering and architecture consulting for startups and enterprise.

    • Reduced client's annual Snowflake bill by 70%
    • Designed and implemented business-critical data pipelines for various clients
    • Rearchitected legacy backend systems to support new business, enabling novel revenue stream for client
  • Block Renovation

    Block Renovation

    Data and Analytics Lead

    May 2022 - Feb 2023

    Reinventing the home renovation

    • Responsible for day-to-day operations of the Data & Analytics team, as well as strategic initiatives, supporting all departments within the business
  • Postscript

    Postscript

    Business Intelligence Lead

    Nov 2020 - May 2022

    SMS marketing and customer retention for Shopify stores

    • Developed internal analytics strategy, implementing data stack from ground up
    • Drove >80% adoption of internal analytics tooling across org, as company grew 6x in size
    • Automated Monthly and Quarterly Business Review process
    • Reduced ETL latency while decreasing pipeline spend
  • pymetrics

    pymetrics

    Technical Product Manager, Data Engineer

    Feb 2016 - Nov 2020

    Gamified predictive hiring assessments for Fortune 500s

    • Ensured $16M+ of new business contracts through market validated integrations and platform features
    • Responsible for technical design, prioritization and project execution of 12 Engineers across 3 Teams

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