Strategic Data Consulting
Advisory
I audit the analytics stack you already have, find the blind spots in your reporting,
and lay out a clear roadmap for data maturity. Useful when leadership wants an outside,
senior view before committing more budget.
- Data strategy & maturity assessment
- KPI framework & metric definitions
- Executive reporting & board-level storytelling
Dashboard & Reporting Design
BI / Visualisation
Production-grade dashboards your team will actually open. Anything from a single-metric
tracker to a multi-source executive scorecard, built in Superset, Looker, Tableau,
Holistic, Power BI, or whichever tool your team is already on.
- Superset, Tableau, Looker, Holistic, Power BI, Metabase
- Self-serve analytics & data democratisation
- Automated reporting pipelines
Predictive Analytics & ML
Machine Learning
Models that anticipate outcomes: churn, demand, revenue, risk. Anywhere from a
scoped proof-of-concept to a fully productionised pipeline with monitoring and
explainability built in.
- Churn, LTV & demand forecasting
- Anomaly detection & fraud signals
- Model explainability & monitoring
Data Infrastructure & ETL
Engineering
The plumbing your analytics needs to scale: modern data stack architecture,
warehouse design, dbt modelling, Airflow orchestration. Clean data in,
reliable insights out.
- Modern data stack (dbt + ClickHouse / PostgreSQL)
- ETL / ELT pipeline design & optimisation
- Data quality, governance & lineage
A/B Testing & Experimentation
Statistics
Statistically rigorous experiments, the measurement infrastructure to run them,
and analysis with the right methods. No p-hacking, no ambiguous outcomes,
just hypotheses that turn into decisions.
- Experiment design & power analysis
- Bayesian & frequentist analysis
- Experimentation platform evaluation
Team Training & Enablement
Training
Upskill your existing team with targeted workshops, code reviews, and embedded
mentoring. I leave behind documentation and internal frameworks your team can
keep running long after the engagement closes.
- SQL & Python analytics workshops
- Data literacy for non-technical teams
- Hiring & interview process support
How We Work
Engagement Models
Flexible structures to fit your timeline and budget.
Model 01
Focused Sprint
A scoped, time-boxed engagement of two to four weeks for a single well-defined
problem. Good for an audit, a model, or a dashboard that needs to ship fast.
Typical duration
2 – 4 weeks
Most Popular
Model 02
Monthly Retainer
An ongoing embedded partnership: a set number of days per month, used flexibly
across strategy, analysis, or implementation. Effectively a fractional Head of Data.
Typical duration
3+ months
Model 03
End-to-End Project
Fixed-scope project with defined deliverables and milestones. Best for infrastructure
builds, new analytical product launches, or multi-phase consulting programmes.
Typical duration
1 – 6 months
Model 04
Open to Hire
Full-time Employment
Looking to bring on a Head of Data or Lead Analyst in-house? I'm open to the right
full-time role: building and running a data department end-to-end, embedded inside
the organisation and committed to its long-term direction.
Head of Data / Lead Analyst roles
Remote-first or hybrid (EU time zones)
iGaming, B2B SaaS, or Affiliate verticals
Get in Touch
Start a Conversation
Not sure which service fits?
Let's figure it out together.
Send a short description of what you're trying to solve. Within one business day you'll get an honest answer on whether (and how) I can help.
What to expect
Response within 24 hours
I read every message personally and reply promptly.
Free scoping call (30 min)
A no-pressure conversation to understand your situation before any proposal.
NDA available on request
Happy to sign before discussing anything sensitive.