Analytics engineer job description template

[Senior] Analytics engineer, [Full-time / Contract (term) / Fractional (days a month)]
Location: [Remote, overlap hours with time zone / Hybrid, City / On-site, City]
Pay: [range and currency, or day rate for contract]

About us
[Two sentences: what the company does and why this role matters now.]

Why this role exists
[One honest paragraph about the current state.]

What you'll own in the first 90 days

- [e.g. Agree definitions for revenue, active customer and churn and ship them as tested dbt models]
- [e.g. Add tests and freshness checks to the core models]
- [e.g. Retire duplicate dashboards that disagree]

Our stack
[Snowflake / BigQuery / Databricks / Redshift] · dbt · [Fivetran / Airbyte] · [Looker / Power BI / Tableau / Metabase] · Git and CI

Must have (five or fewer)

- Production dbt (or similar) modelling
- Strong SQL
- Dimensional or similar data modelling
- Testing and documentation habits
- Working with finance and product on definitions

Nice to have

- [Semantic layer] · [Python] · [Reverse ETL]

How we work

- [Team, who you report to, on-call, overlap hours, async norms]

Hiring process

1. [Intro call] 2. [Scenario interview on a real, anonymised problem] 3. [Team conversation] 4. [Offer]

• Lead with outcomes, not a long list of requirements.
• Name your real stack so the right people self-select.
• State the engagement type: full-time, contract or fractional.
• Publish a pay range. For public pay data, see our rates and salary guide, which links only to BLS and ONS sources.
• Hiring across borders full-time? See hiring internationally through Deel.

Copy the template, edit the brackets, then post your role free on carbon.talent and review vetted profiles.