About the role

Senior Analytics Engineer at Tempo, building and maintaining data foundations for GTM and corporate reporting. Collaborating on datasets, reports, and improving data model usability.

Responsibilities

Design, build, and maintain curated datasets in dbt Cloud that power GTM and corporate reporting across the full revenue lifecycle
Own metric definitions and ensure consistent logic across recurring reporting, reducing duplicated, ambiguous or conflicting calculations
Investigate data discrepancies end-to-end: trace issues across transformation layers, validate outputs against source systems (e.g. Salesforce), and resolve root causes
Document core datasets and metric definitions in dbt YAML so that both human users and AI-powered query tools inherit accurate, consistent context
Translate complex business logic into clean, well-tested data models
Support a limited set of downstream reporting and one-off analytical requests, especially where they help refine or pressure-test the underlying data model
Over time, grow into more direct partnership with business stakeholders to improve reporting clarity, usability, and trust

4-7 years of experience in analytics engineering, data analytics, or a related role in a SaaS or technology environment
Strong SQL skills and hands-on experience with dbt (building models, writing tests, managing documentation)
Experience working with subscription or revenue data — comfortable with concepts like ARR, churn, retention, and waterfall reporting
Strong judgment on how to structure and organize data for downstream reporting and analysis.
A natural investigator: when numbers don't match, you dig until you find the root cause rather than patching over the discrepancy
Familiarity with BigQuery and BI platforms such as Looker or Omni
Familiarity with ETL and reverse ETL tools for moving data between enterprise systems (e.g. Fivetran, Hightouch)
Comfortable working cross-functionally and partnering with teammates to clarify requirements and definitions
Strong written communication skills with the ability to explain data logic, tradeoffs, and metric definitions clearly to both technical and non-technical audiences
Interest in how AI tools are changing the way organizations interact with data.

Remote First work environment
Unlimited vacation in most of our locations!!
Great benefits including health, dental, vision and savings plan.
Perks such as training reimbursement, WFH reimbursement, and more.
Diverse and dynamic teams with challenging and exciting work.
An opportunity to have a real impact on our business.
A great range of social activities (both in person and virtual).
Optional in person meet-ups and the ability to travel to our international offices
Employee referral program
And so much more!