Senior Analytics Engineer
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Job Description
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
Requirements:
- 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.
Benefits:
- 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!
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