[Remote] Senior Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Tempo Software is a company trusted by over 30,000 customers worldwide, including a third of Fortune 500 companies, to improve workflows through integrated solutions. They are seeking a Senior Analytics Engineer to build and maintain data foundations for GTM and corporate reporting, ensuring reliable and consistent datasets for the business.

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

Skills

• 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. You care about naming, grain, consistency, and making things easy to use
• 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, and enthusiasm for building data layers that are legible to both humans and machines
• Bachelor's degree in a quantitative field such as Statistics, Economics, Computer Science, or similar, or equivalent practical experience

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

Company Overview

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