Hire a Fractional Head of Analytics
Fractional Head of Analytics. Data as a Competitive Advantage.
Senior analytics leadership that builds the data strategy, team capability, and measurement infrastructure your business needs to make data genuinely central to how decisions get made — not just a reporting function nobody trusts.
Why data-forward businesses choose Fractionus
- Vetted practitioners only. We shortlist Heads of Analytics with track records building analytics functions in your industry and at your scale.
- Fast start. Typical kickoff in days. A good analytics leader can assess the current state and define the priority work in the first two weeks.
- Flexible engagement. 2–3 days/week, scaled to the build phase and the complexity of your data environment.
- Clear outcomes. A data strategy, a functioning analytics team, a measurement framework your whole business operates from, and decisions that are visibly better because of data.
What is a Fractional Head of Analytics?
A Fractional Head of Analytics is a senior data leader who partners with your leadership team on a part-time basis to own the strategy, capability, and outputs of your analytics function. They sit above the individual analyst or engineer level — setting the direction, defining the standards, managing the team, and ensuring the organisation is actually using the data that’s being produced.
The best analytics leaders are rare because they need to be technically credible and commercially sharp simultaneously. They need to understand data models and SQL, and they need to understand revenue, margin, and customer lifetime value. Most people who are good at one aren’t good at the other.
Where they go deep
- Data strategy and analytics roadmap
- Analytics team structure, hiring, and management
- KPI framework design and company-wide metric alignment
- Data warehouse architecture and stack decisions
- Self-serve analytics design and BI tool implementation
- Data governance, quality standards, and documentation
- Board and executive analytics reporting
- Cross-functional analytics embedding (marketing, product, finance, ops)
Fractional CSIO
Ex-SoundCloud
Fractional CRO
Ex-Heineken
Fractional CXO
Ex-McKenzie
Fractional GTM
Ex-Salesforce
Fractional Head of AI
Ex-GE Capital
Fractional COO
Ex-Glossier
Fractional CTO
Ex-Afterpay
Fractional CTO
Ex-Google
Fractional CPO
Ex-Pleo
Fractional CTO
Ex-BMW
Fractional CPO
Ex-@ Lego
Fractional CFO
Ex-We Are Brands
When to hire a Fractional Head of Analytics
- You have analysts but no analytics strategy. Individual analysts doing good work in silos, with no shared metric definitions, no agreed prioritisation, and no connection to the commercial agenda. A Head of Analytics fixes all three.
- Different teams are using different numbers for the same metric. When marketing reports a different CAC than finance, and product measures retention differently from customer success, you have a data governance problem. A Head of Analytics builds the shared definitions and single source of truth that ends that conversation.
- You’re investing in data infrastructure and want to make sure it’s the right investment. Data warehouse choices, BI tool decisions, and data stack architecture all have long-term implications. A fractional Head of Analytics ensures the decisions are made with the right commercial context.
- Analytics isn’t influencing decisions the way it should. If the reports are being produced but executives are still making calls based on instinct, the problem is usually about how insights are communicated and positioned — not the quality of the analysis. A Head of Analytics fixes the communication layer.
What does engagement look like?
Most companies engage a fractional Head of Analytics at 2–3 days per week, working across the team leadership, the strategy, and the cross-functional embedding simultaneously. Some companies prefer a defined strategy and architecture sprint before moving to a lighter ongoing advisory role.
First 90 days typically includes
- Analytics maturity assessment and current state audit
- KPI framework and metric alignment across the business
- Data stack and tooling assessment
- Analytics team structure and capability review
- Self-serve analytics design and BI configuration
- Analytics roadmap for the next 12 months
Hire a Fractional Head of Analytics
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Why the fractional model is surging
A full-time Head of Analytics at the right experience level costs $160K–$220K+ and is one of the most competitive hires in the market. For scaling businesses that need senior analytics leadership but can’t yet justify or attract a full-time hire at that level, the fractional model provides exactly the right access at exactly the right cost.
How Fractionus works
- Brief us once. Your data environment, team structure, the analytical decisions you’re trying to make better, and your analytics goals.
- Shortlist in days. Meet 2–3 vetted fractional Heads of Analytics matched to your industry and stack.
- You choose. Interview, check fit, and select your leader.
- We handle everything else. Paperwork, billing, and smooth scale-up/scale-down.
What you’ll get — and measure
- A single set of metric definitions the whole business operates from
- Analytics influencing decisions in product, marketing, and finance — tracked through decision audit
- Data quality improving month-on-month with documented standards
- An analytics team with clear direction, better output, and growing capability
Fractional leaders from top brands
Frequently Asked Questions
Answers to the most common questions about working with a Fractional Head of Analytics through Fractionus
What’s the difference between a Head of Analytics and a Chief Data Officer?
A Head of Analytics owns the analytics function — the measurement, reporting, and analytical capability that drives business decisions. A CDO operates at a higher organisational level, owning data as a strategic asset including governance, privacy, data products, and board-level data strategy. For most scaling businesses, a Head of Analytics is the right first hire.
Can they manage our existing data team?
Yes. Managing analysts, data engineers, and BI developers under a single analytics function is a core part of the role.
How quickly can we start?
Most clients meet shortlists within a week and kick off within days after selection.
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