Start with a free consultation call. We discuss your business, the data sources you work with, the analytical questions you need answered, your current BI environment, and how many hours of analytical support you need. We then match you with a pre-vetted analyst who has relevant sector experience and BI tool proficiency. Most clients are matched and generating insight within days of that first conversation.

A data engineer builds and maintains the pipelines, warehouses, and infrastructure that make data accessible and reliable. A data analyst uses that infrastructure to query, interpret, and communicate data as business insight. If your data is already structured and accessible but nobody is extracting meaningful insight from it — you need an analyst. If your data is siloed, unstructured, or not yet flowing into a central warehouse — you likely need a data engineer first, or both working together.

Our analysts cover Power BI, Tableau, Looker, Looker Studio, and Metabase as primary BI tools. SQL proficiency across PostgreSQL, MySQL, BigQuery, Snowflake, and Redshift is assessed as standard. Python with Pandas for analytical scripting is available across most of our analysts. Tool depth and platform familiarity are confirmed during the matching process before any placement is made.

Most clients begin within a few days of completing the initial requirements discussion. We maintain a pool of vetted, available data analysts at all times — there is no cold recruitment process when you contact us.

Significantly. Data analysts in the Netherlands typically command €45,000–€70,000 per year in salary, plus employer NI contributions, BI tool licences, training, and benefits. Our flexible plans deliver a fraction of that total investment — with no long-term employment commitment, no recruitment fees, and meaningful analytical output from day one.

Before any engagement begins, we execute a data processing agreement (DPA) and NDA with your organisation. Analysts access data under strict access controls, applying pseudonymisation and data minimisation principles to analytical work involving personal data. Analytical environments handling personal data are structured to comply with Dutch AVG obligations — including appropriate retention limits, access logging, and restrictions on data export and sharing.

You do — entirely. All dashboards, SQL queries, Python scripts, analytical models, and documentation produced during the engagement belong to your organisation. This is contractually guaranteed before any work begins.

We offer a 14-day satisfaction guarantee. If the match is not right — for analytical depth, communication quality, domain understanding, or any other reason — we replace the analyst at no additional cost, or issue a full refund within the guarantee window. Business context fit and communication quality are both assessed during our matching process, but our guarantee is unconditional regardless.

Yes. Our analysts are experienced in connecting to and extracting data from the most widely used Dutch and European business platforms — including Exact Online, Moneybird, HubSpot, Salesforce, Shopify, WooCommerce, Google Analytics 4, and Klaviyo. Where direct connectors exist, they use them. Where manual extraction or API access is required, they build reproducible extraction workflows.

Yes. Many clients begin with a single data analyst and expand their analytical capability as the business matures — adding a data engineer to build the underlying infrastructure, an ML engineer to develop predictive models, or a Power BI specialist for enterprise reporting through the same managed engagement model. We make that transition seamless and cost-predictable.