Hire an Analytics Engineer
Pre-screened Analytics Engineers who build dbt models, metric layers, and tested transformations inside your warehouse, matched in about 3 days with no deposit to start sourcing.
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Meet uniquely qualified Fractional Analytics Engineersfor your company. Tell us your needs and we’ll handpick your best matches from the network.
When to hire a Fractional Analytics Engineer
Hire an Analytics Engineer when your data exists but nobody trusts the numbers coming out of it. These are the signs buyers bring to us most often.
Two dashboards, two revenue numbers
Finance and sales report different figures for the same metric because logic lives in scattered SQL and BI tool calculations.
Analysts stuck rewriting the same joins
Your analysts spend most of their week cleaning raw tables instead of answering questions the business is asking.
A dbt project nobody maintains
Someone set up dbt, then left. Models are undocumented, tests are failing, and every change risks breaking a downstream report.
Warehouse costs climbing
Unoptimized models and full-refresh jobs are running up your Snowflake or BigQuery bill with no one owning performance.
Data engineers pulled into reporting
Your data engineers are building business logic and dashboards when they should be maintaining ingestion and infrastructure.
Leadership wants self-serve analytics
Executives want to explore data in Looker, Tableau, or a semantic layer, but there is no clean, governed model underneath to support it.
The benefits of hiring a Fractional Analytics Engineer
A fractional Analytics Engineer turns raw warehouse data into documented, tested models that your dashboards, finance team, and executives can rely on. You get a senior builder working in your stack with no full-time hiring cycle.
Put a senior modeler on your dbt project
Get someone who has designed staging, intermediate, and mart layers before, without carrying a full-time salary, benefits, and recruiting costs.
Ship trusted metrics before next board meeting
We match you in about 3 days, so revenue, churn, and CAC definitions get fixed this quarter instead of after a months-long search.
Hand your Snowflake mess to a proven builder
Every operator is pre-screened by veteran executive recruiters on track record with tools like dbt, Snowflake, BigQuery, Databricks, Looker, and Airflow.
How to hire a Fractional Analytics Engineer
No more juggling job boards and sorting through pools of unqualified applicants. Hiring a Fractional Analytics Engineer is easy with Go Fractional.
Intro Call
Answer a few quick questions, then book a free 30-minute intro call with our team to review your goals, needs, and team dynamics.
Meet Experts
Our AI finds Fractional Analytics Engineer candidates whose past clients and projects match your brief, which you won’t find on LinkedIn. A dedicated executive recruiter verifies each one’s experience, fit, and genuine interest, and you meet the ones who fit in about 3 days.
Start Work
Book time with candidates right from your shortlist, choose your operator, and sign a simple month-to-month agreement. We move as fast as you do.
Engagements that fit how you work
Every Go Fractional engagement is structured for senior leadership without full-time overhead. Start fractional, scale up, or convert to full-time when you’re ready.
Fractional Analytics Engineer
- Senior leadership on a part-time schedule
- Monthly retainer, no recruiting fees
- Scale hours up or down as needs change
Contract-to-Hire
Trial a Fractional Analytics Engineer on a fractional engagement before converting them to a full-time hire.
- Keep the expert's learnings or convert to full-time
- Try the fit before you commit, no hiring risk
- Faster speed to market, conserving time and resources
Interim Analytics Engineer
Full-time coverage for a defined stretch: a leadership gap, a transition, or a critical project.
Fractional Analytics Engineer rates average $157/hr across our live benchmarks. Pricing scales with hours and scope.
Analytics Engineer Hourly RatesFractional vs full-time vs agency
Three ways to get Analytics Engineer leadership, and where each one wins.
Scroll to see all comparison columns.
| Factor | Fractional Analytics Engineer | Full-time Analytics Engineer | Agency / dev shop |
|---|---|---|---|
| Time to hire | ~3 days | 2-4 months | 2-6 weeks |
| Engagement | Monthly retainer, scoped SOW | Salary + benefits + equity | Project fee with markup |
| Ownership of models | Embedded in your repo and standups | Full ownership long term | Hands off at project end |
| Metric definitions | Agreed directly with your stakeholders | Agreed directly with your stakeholders | Often built to spec, less business context |
| Knowledge retention | Documented models, tests, and lineage | Stays in house | Leaves with the team |
| Best for | Building or fixing the modeling layer with flexible scope | Large data teams with steady modeling demand | One-off pipeline or dashboard builds |
We’ve helped hundreds of organizations Go Fractional
Twelve years: the average experience across a network of handpicked executives ready to make an impact on day one.
“Hiring a fractional Head of Data Science has been transformative for our company. At just 50% of the cost of a full-time data scientist, we secured a seasoned data leader with over 12 years of experience in top startups. This strategic move has significantly enhanced our data strategy and execution. The expert leadership has instilled confidence in our data capabilities, driving measurable results for our business.”
“It was literally three days after he started with us fractionally, our CEO was calling me and asking if we could get a full-time offer out.”
“It's a can't-lose scenario. You either get the learnings from the subject matter expert, or you get the full-time capability. It provided a ton of flexibility, much faster speed to market, and conservation of time and resources.”
Frequently asked questions
Here are a few questions that folks just like you have had during their search.
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