Bridge the gap between spreadsheet chaos and your first data hire.
What You Get
Business Outcomes & Support
- Board-ready reports for investors, finance, marketing, and product
- Strategic input on growth, metrics and board reporting
- Mentorship for your internal analyst, if you have one
Data Infrastructure
- A complete analytics platform: pipelines, warehouse, models, and dashboards
- Clean, trusted metrics: CAC, LTV, churn, retention, ROAS, and more
- AI-ready infrastructure: clean, well-modelled data for ML and automation
- GDPR-compliant, all data stays in your warehouse
"Quietly rebuilt our data infrastructure and levelled-up everyone's data literacy."
How It Works
- Onboarding (6-8 weeks): Platform setup and initial reporting - from £10K
- Ongoing (monthly): Maintenance, updates, and support - from £3K/mo
- Burst Projects: Add-on work like source expansions or rebuilds - scoped separately
- Optional Mentoring: Support and coaching for your internal analyst on metric logic, SQL, and self-service workflows
- Handoff Ready: Everything documented and portable. 30-day notice, no lock-in
Who It's For
Startups building their first real data stack. You might have one analyst, some messy spreadsheets, and no source of truth. This gives you a structured way to move fast without committing to a permanent hire.
Learn more about how we can help your product, marketing, and finance teams, and our analyst onboarding.
When This Solution Makes Sense
Use our ROI calculator to find out how much time you're spending on reporting and what it costs. Compare this with our pricing to see how our solution stacks up against other options.
We're usually a good fit for companies in these situations:
Company Stage
- Seed to Series A: When you need investor-ready metrics but can't justify a full-time hire
- Series A to B: When you're scaling and need reliable data to make growth decisions
- Pre-Scale: When you're preparing for rapid growth and need a solid data foundation
Team Size
- 10-50 employees: When you have one analyst or data-savvy team member who needs support
- 50-200 employees: When you need data infrastructure but aren't ready for a full data team
- 200+ employees: When you need to bridge the gap until you can build an internal data team
Common Scenarios
- Fundraising: When you need clean, reliable metrics for your data room
- Growth Phase: When you're scaling marketing spend and need accurate attribution
- Product Development: When you need to measure feature adoption and user behavior
- Team Expansion: When you're hiring analysts who need a solid data foundation
- Platform Migration: When you're moving from spreadsheets to a proper data stack
Warning Signs You Need This
- Your metrics change depending on who calculates them
- You're making decisions based on gut feel rather than data
- Your analyst spends more time fixing data than analyzing it
- You can't track customer journeys across different tools
- Your board meetings feature debates about which numbers are correct
"Ollie re-platformed our legacy data pipeline and paired deep technical skill with clear business communication. I'd hire him again."
Why Founders Use This
- Investment: Gives you a clean, reliable data room with investor-standard metrics like CAC, LTV, retention, and more.
- Marketing: Understand where acquisition is working and how spend turns into conversions.
- Finance: Track margin, revenue, and payback without relying on spreadsheets and patchy attribution.
- Product: Measure usage and retention trends so product planning is based on actual behaviour.
Grow Your Team While You Scale
If you have a junior BI or ops analyst, we can support their work as they build on top of the system. That includes SQL guidance, documentation, and reviewing their queries as needed.
Messy Data? We've Got It Covered
We expect some chaos in UTM tags, CRM values, or old metrics logic. We handle this with a shared Google Sheet where your team defines the mappings. That keeps the models clean without needing hardcoded fixes.
Comparing Data Platform Options
| Scale Direction | Full-Time Head of Data | Pure Platform Solution (1) | Independent Consultant (2) | |
|---|---|---|---|---|
| Setup Time | 6-8 weeks | 2-3 months | 6-8 weeks | 2-3 months |
| Annual Cost | ~£50K | £100-130K + equity | £30-60K | £20-30K |
| Analyst Mentorship | Included | Depends on bandwidth | Not included | Extra cost |
| Strategic Guidance | Included | Full-time | Not included | Extra cost |
| Platform Maintenance | Included | Included | Included | Extra cost |
| Exit Risk | Low (30-day notice) | High (attrition, transitions) | Low | Medium |
| Team Building | Mentorship included | Full responsibility | Not included | Extra cost |
| Customization | Flexible | Full control | Limited | Full control |
| Best For | Startups needing both platform and mentorship | Scale-ups with budget for full team | Companies with existing data team | One-off projects or audits |
(1) Pure Platform Solution refers to services like Fivetran, RudderStack, or Segment that provide data infrastructure but no strategic guidance or team mentorship.
(2) Independent Consultant refers to freelance data leaders who typically work on a project basis.
Prefer to explore on your own first? Try the ROI calculator or compare detailed pricing.
Technologies We Use
We work with a modern, reliable data stack:
- Airbyte for data ingestion
- BigQuery (GCP), Redshift (AWS), or Snowflake for warehousing
- dbt for transforming and modelling core metrics
You can optionally add Metabase for dashboards or use your preferred BI tool.
We can work in your cloud environment or set one up for you if you don't have one.
Data Ownership and Security
You control your data. We use read-access service accounts and work inside your cloud environment. Warehouses are provisioned under your control, and we don't store data outside your infrastructure.
All code is documented and available for handoff. We follow good access and logging practices and sign NDAs by default.
Service Levels and Response Times
We review issues within 24 hours and resolve them within 48 hours on business days. Metric updates or bug fixes follow the same schedule.
We also offer weekly check-ins and support for analyst questions or ad hoc reviews. This includes strategic guidance on data initiatives, metric design, and helping align your data strategy with business goals.
10+ Years, Quietly Embedded
We've built data platforms for venture-backed startups across SaaS, marketplaces, fintech and more. If you've outgrown spreadsheets and dashboards that aren't telling you the right story, this will feel like a turning point.