Hybrid Club Data Analyst: Dashboards & Cost Insights

Basic-Fit; Hoofddorp; Hybrid; EUR 39,000 - 61,000; Full time

Benefits offered by this job

Learning: GoodHabitz

LinkedIn Learning

Remote work allowance

Pension plan

Health insurance discounts

Travel/bike perks

Gym access

Job summary

Basic-Fit is seeking a Club Data Analyst to turn facility ticket data and financial data into insights that drive club performance. You will create standing dashboards and surface recurring issues to managers for action.

Working with Databricks and Genie, you will write SQL queries and develop views to support cost analyses and SLA benchmarking. A proactive, analytical mindset and data-focused background are essential.

Qualifications

• Bachelor's/Master's degree 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.

Responsibilities

• Analyse existing facility ticket, maintenance, and financial data to identify recurring issues, root causes, and cost drivers.
• Build and maintain dashboards for self-serve overview by managers.
• Flag day-to-day issues and anomalies for investigators to act on.
• Evaluate the cost impact of processes and supplier performance (SLA adherence, benchmarking).
• Write SQL/Genie queries and build new views/aggregations on existing data.
• Projects expand as the long-term data-landscape evolves.

Skills

SQL

Databricks

Genie

Dashboarding

Statistical analysis

Data storytelling

Education

Bachelors/Masters in Data Science/ Informatics

Tools

Databricks

Genie

Job description

Basic-Fit is seeking a Club Data Analyst to turn facility ticket data and financial data into insights that drive club performance. You will create standing dashboards and surface recurring issues to managers for action.

Working with Databricks and Genie, you will write SQL queries and develop views to support cost analyses and SLA benchmarking. A proactive, analytical mindset and data-focused background are essential.