TI
Listed on Tempo IO’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Tempo seeks a Senior Analytics Engineer to design and maintain the data foundations—curated datasets, metric definitions, and transformation logic—that power GTM and corporate reporting across the organization. This role suits someone who excels at building reliable, self-serve data models in dbt rather than producing dashboards, and who enjoys translating business requirements into consistent, well-documented data layers that stakeholders can trust.
Our summary, not Tempo IO’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 4–7 years in analytics engineering, data analytics, or related role in SaaS or tech
- Strong SQL and hands-on dbt experience
- Experience with subscription or revenue data (ARR, churn, retention, waterfall reporting)
- Judgment on data structure and organization for downstream use
- Investigative approach to root-cause analysis of data discrepancies
- Cross-functional communication and partnership
- Strong written communication explaining data logic to technical and non-technical audiences
Nice to have
- Familiarity with BigQuery and BI platforms (Looker or Omni)
- Experience with ETL and reverse ETL tools (Fivetran, Hightouch)
- Interest in how AI tools change data interaction
- Bachelor's degree in Statistics, Economics, Computer Science, or equivalent practical experience