Data Analyst

You'll work directly with clients to turn messy business questions into clear data products — dashboards, deep-dive analysis, and self-serve analytics. You'll sit between the business problem and the data platform, making sure what we build actually gets used.

This is not a back-office reporting role. You'll be in the room with founders, CMOs, and heads of product — understanding what decisions they need to make, then building the data products that let them make those decisions with confidence.

What you’ll actually do Understand the business problem first.

You'll work with clients across industries — marketing, e-commerce, subscriptions, B2B SaaS — to figure out what they really need, not just what they ask for. You'll write product briefs, scope requirements, and prioritise ruthlessly based on business value.

Deliver insight fast.

Sometimes the right answer is a quick query and a Slack message. Sometimes it's a four-week exploratory analysis with statistical validation. You'll know the difference and act accordingly.

Build dashboards people actually use.

You'll design and build reporting in tools like Omni, Looker, and Holistics — with clear information architecture, sensible navigation, and zero unnecessary complexity. Self-serve analytics that works means fewer bottlenecks and faster decisions.

Collaborate across the data team.

You'll work closely with analytics engineers and data engineers to design data models, QA outputs, and make sure what's in the warehouse actually supports the analysis layer. You own the semantic layer and explore designs.

Use AI as a tool, not a crutch.

We expect you to use AI to accelerate code, drafts, and routine tasks — while maintaining full awareness of its limitations. Document when and how you use it.

About You Must-haves:

Proven experience in a data analyst role where your work informed real business decisions

Strong SQL. Comfortable with Python for data manipulation.

Experience with BI/dashboarding tools and version control (GitHub/GitLab)

Ability to explain complex data concepts clearly to non-technical stakeholders

Experience across multiple industries or business models — you understand that "churn" means different things to a SaaS company and a retailer

What sets you apart:

You ask better questions than most analysts. You dig into vague briefs until you find the actual problem.

You think in terms of business outcomes, not just data outputs

You're comfortable presenting to senior stakeholders and iterating on findings in real time

You write clearly — product briefs, analysis reports, Slack summaries.

How we work Tasman is remote-first, ~20 people, spread across Amsterdam and London. We work in sprints with clients, typically 3–6 month engagements. We build world-class data capabilities and hand them over — we don't stick around forever.

Three behaviours define our best people:

deliver impact

(stay focused on client value),

communicate effectively

(we're distributed — writing matters), and

take ownership

(manage your own work to a high standard without being managed).

Netherlands:

Salary bracket is €55,000–€72,000 depending on experience

€1,200 home office budget

€500/year wellbeing benefit

€60/month sport benefit + €60/month refreshments

€1,200/year training budget

25 days holiday + public holidays.

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