Club Data Analyst

Basic Fit; Hoofddorp; Hybrid; EUR 52,000 - 76,000; Full time

Benefits offered by this job

GoodHabitz access

LinkedIn Learning

Professional development

4 days in office, 1 day from home

Travel allowance

Bike plan

Health insurance discounts

Remote work allowance

Pension plan

Gym access

Job summary

Basic-Fit is expanding its Facility Data Team to turn raw club data into actionable insights, driving better maintenance and cost decisions across its network. You will analyze ticket and financial data, create self-serve dashboards, and flag issues for managers to act on.

You’ll translate complex maintenance and cost data into clear signals for non-technical stakeholders, building views and aggregations as the data landscape evolves.

Qualifications

• A completed Bachelor's/Master's degree (HBO/WO), in Data Science, (Business) Informatics, or similar.
• Strong SQL skills and experience with Databricks/Genie or a comparable data platform.
• Experience building and maintaining dashboards and a solid grasp of statistical analysis.
• Knowledge of and experience with data related to buildings and Facility Management (e.g. maintenance, ticketing, asset, or supplier/SLA data) — a requirement for this role.
• Affinity with cost and financial analysis (cost-per-intervention, benchmarking).
• Experience independently building your own views/aggregations on existing data.

Responsibilities

• Analyse existing facility ticket, maintenance, and financial data (mainly in Databricks) to identify recurring issues, root causes, and cost drivers.
• Build and maintain dashboards, so managers have a standing, self-serve overview instead of one-off analyses.
• Flag day-to-day issues and anomalies for the responsible managers to investigate and act on.
• Evaluate the cost impact of processes and supplier performance (SLA adherence, benchmarking between suppliers, cost-per-intervention on recurring assets).
• Write your own SQL/Genie queries and build new views and aggregations on existing data.
• Projects: your scope naturally grows as the long-term data-landscape approach makes more club data available.

Skills

SQL

Dashboards

Statistical analysis

Cost analysis

Views/aggregations

Education

Bachelor's/Master's in Data Science or Informatics

Tools

Databricks

Genie

Job description

Our Facility Team is expanding, and we're looking for someone who will help our Facility Department make the most out of data and take club performance to the next level. You'll turn raw club data — starting with facility ticket data (preventive and corrective maintenance) and financial data — into standing dashboards, flagged issues, and cost/impact figures.

This is what your role looks like

Are you excited about turning building and facility data into insights that make a real difference to how our clubs run? Are you able to spot a recurring issue in a mountain of maintenance data and translate it into a number a manager can act on?

Your Responsibilities

• Analyse existing facility ticket, maintenance, and financial data (mainly in Databricks) to identify recurring issues, root causes, and cost drivers.
• Build and maintain dashboards, so managers have a standing, self-serve overview instead of one-off analyses.
• Flag day-to-day issues and anomalies for the responsible managers to investigate and act on.
• Evaluate the cost impact of processes and supplier performance (SLA adherence, benchmarking between suppliers, cost-per-intervention on recurring assets).
• Write your own SQL/Genie queries and build new views and aggregations on existing data.
• Projects: your scope naturally grows as the long-term data-landscape approach makes more club data available.

Who Are You?

You're an analytical thinker who can digest complex maintenance and cost data, spot trends versus noise, and translate them into a clear signal for non-technical stakeholders such as facility managers. You're a self-starter and proactive in flagging issues, without pulling the decision or the fix toward yourself.

Additionally, we're looking for someone who has:

• A completed Bachelor's/Master's degree (HBO/WO), in Data Science, (Business) Informatics, or similar.
• Strong SQL skills and experience with Databricks/Genie or a comparable data platform.
• Experience building and maintaining dashboards and a solid grasp of statistical analysis.
• Knowledge of and experience with data related to buildings and Facility Management (e.g. maintenance, ticketing, asset, or supplier/SLA data) — a requirement for this role.
• Affinity with cost and financial analysis (cost-per-intervention, benchmarking).
• Experience independently building your own views/aggregations on existing data.

What We Offer You

At Basic-Fit, it's not just about work, it's about your growth. As a Club Data Analyst, you'll have the freedom to make an impact and develop yourself in a dynamic environment.

• Unlimited access to GoodHabitz and LinkedIn Learning.
• Plenty of opportunities for professional and personal development.
• An informal, international, and down-to-earth environment. We value working together, so we work 4 days in the office, 1 day from home.
• Your ideas contribute to strategic projects.
• Travel allowance, bike plan, health insurance discounts, remote work allowance, and a pension plan (52% contribution by Basic-Fit).
• Access to our gym at HQ.

About Basic-Fit

Basic-Fit is Europe's leader in the value-for-money fitness market, with more than 4.7 million members across 1,650+ clubs in 6 countries. We are continuously growing and improving.