Data & analytics advisor

Deep clarity makes real growth possible.

✶ WHY CLARITY

Most teams have plenty of data. What’s missing is shared understanding: how value reaches customers, how functions connect, and which levers matter.

Once that’s clear, work gets lighter. Focus sharpens, teams act with more confidence, and growth has a stronger foundation.

How I work

I turn scattered knowledge into a map the team can use.

  1. 01

    Start with what’s already known

    I start with conversations: what people know, suspect, and keep explaining. Then I connect that with the dashboards, decks, and analyses already in the building.

  2. 02

    Trace how the business works

    We follow value, customers, and decisions across functions until the messy picture becomes something everyone can point at.

  3. 03

    Make the map usable

    It might live in dashboards, a deck, KPI definitions, or a data dictionary. The point is a shared framework for how value flows, how metrics connect, and how team KPIs ladder up to company goals.

What I do

I turn messy business questions into metrics, reporting, and data foundations teams can use.

In practice, that means clearer KPIs, sharper reporting, and the definitions, tracking, and rhythms people can trust.

A few ways that can look —

Decision clarity sprints

Focused weeks around one important decision. We sharpen the question, gather what’s needed, map the trade-offs, and land on a recommendation people can challenge and act on.

KPI & leadership reporting design

Fewer numbers, chosen better. I help define the metrics, reporting views, and leadership conversations that show what matters, not just what’s easy to measure.

Data product & analytics foundations

Foundations people can trust. For teams that need better tracking, cleaner journeys, and clearer definitions, I translate business, product, and operations into a usable analytics stack.

Data team & operating model

Make data a stronger internal function. Priorities, roadmap, roles, hiring, stakeholder management, and working rhythms that help data support better decisions.

Ways of working

Engagements often blend these formats: focused sprint, ongoing advisory rhythm, fractional leadership, or workshop.

Experience includes
Treatwell
In their words

People who saw the work up close.

Jesko gets to the core of a business or data problem quickly. He understands the commercial context, asks the right questions, and turns messy requirements into clear, usable reporting and decision support.

Benjamin Leaver CFO · Treatwell

Jesko consistently delivered exceptional work, supported the team, and helped build a great culture. A highly accountable collaborator you can always rely on.

Dóra Lality Co-founder · Material Exchange

Jesko has a knack for taking complex datasets and turning them into something clear, structured, and genuinely useful. He combines strong analytical skills with good judgment and a collaborative approach.

Anaïs Jollivet Senior Principal · Verlinvest
Let's talk

Bring the messy version of what you’re trying to steer.

Thirty minutes to look at the decisions and metrics that need a clearer next step.

Book a call
Jesko, smiling with arms folded in a warm sunlit room
Leiden, NL ✶
A little about me

I'm Jesko.

I've spent seventeen years in data and analytics: in-house, then independent. Since 2021 I've worked on my own with companies like Verlinvest and Material Exchange.

Somewhere along the way I noticed a pattern: the technical work is often complex, but it usually comes after something harder. First you have to trace the currents underneath: how customers move, how data, decisions, and teams connect, and where the business is really trying to go. Then you help people trust the same map, act from it, and build the systems that make it usable.

Previously — nine years building & leading the data and analytics function at Treatwell.

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Nasrudin was looking for his key under the streetlamp.

“Did you lose it here?”

“No,” he said, “but the light is better here.”

After a Mullah Nasrudin story

The work begins when we stop looking only where the light is best.