Analytics Engineer

Full Time
  • October 8, 2026
  • Employment Info

    JOB  DETAILS

    Requirements
    • 4-6 years in an analytics engineering, financial or commercial analytics
    • Experience building / maintaining production data models
    • Strong SQL skills, ideally in BigQuery, for data modelling and validation
    • Detail orientated, able to self-validate assumptions and potential data gaps
    • Strong sense of ownership
    • Familiarity with dbt or similar transformation tools
    • Familiarity with financial concepts, eg. Revenue, CAC, Payback, LTV
    • Strong documentation habits — you fix things and write it down
    Responsibilities
    • Maintain and improve the accuracy and reliability of our core orders, revenue & refunds models.
    • Configure and manage integrations with financial reporting tools, eg. Netsuite.
    • Standardise reporting across each region (UK, EU, AU, JP, CA).
    • Partner with engineering and operations, to manage changes across products and processes, reducing downstream reporting impacts.
    • Work with the US Hims & Hers financial team, to provide accurate, reliable and well documented data for SEC reporting.
    • Build automated checks for data reliability, and monitor drift of reporting figures.
    • Maintain a deep understanding of upstream source data to understand change impacts to reporting figures.
    • Accurately model our product COGs and services costs, with our revenue data to build payback models to help inform capital allocation decisions
    • Work closely with the finance, commercial and operations teams to maintain our product COGs data
    • Work with the marketing teams to accurately track and attribute our marketing spend data (google, facebook, tiktok, etc)
    • Monitor and validate data accuracy across financial source data
    • Build automated checks for missing or duplicated data, schema drift, and anomalies
    • Investigate discrepancies between source data and reported figures.
    • Maintain end to end documentation of reporting models
    Desired Qualifications
    • Experience with providing data for public market reporting
    • Experience with financial data, Stripe, Zip, etc
    • Exposure to ERP tools, e.g Netsuite
    • Experience with BI tools, e.g Sigma

     

     

     

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