Customer & Digital Analyst

Quick Facts

• Role: Customer & Digital Analyst

Description

You will work across two connected businesses, analyzing customers, members, and digital journeys to answer key questions: who starts, what prevents them, who uses the services, who leaves and why, and what to do before churn happens. The role focuses on building reporting, assessing campaign effectiveness, developing churn prediction models, and supporting measurement across the app and websites using GA4/GTM and other tooling. You will collaborate with market teams, data/reporting, controlling, marketing, and product/application/web teams in an international environment.

Responsibilities

• Deliver business insights and recommendations based on what the numbers mean and why they changed

• Design and build reporting (Power BI or other tools) for cardholders/employers and for members/clubs, with comparable views across markets

• Evaluate advertising campaigns: lead/member acquisition cost, campaign-to-purchase journey, and campaign ROI to identify what to scale or stop

• Build and maintain churn prediction models for cardholders, MultiSport customers, and club members; convert results into lists/alerts and measure impact of actions

• Participate in product/projects by defining measurement requirements, identifying missing events/fields, and ensuring implementation quality so data is not lost

• Maintain consistent definitions via the group glossary; challenge incorrect definitions and align new ones with data, controlling, and markets

• Support app and website measurement (GA4/GTM): specify what to measure, create developer specs, and run implementation QA; reconcile app data with system data

• Combine data sources (warehouse/BI, GA4, CRM, Excel) and handle key mismatches, time zones, duplicates, and data gaps

• Measure initiatives using before/after, test vs control, cohort comparisons, business case inputs, and post-mortems

• Support project teams with business cases and post-implementation evaluation

Requirements

• 2–4 years of experience in product, customer, marketing, or digital analytics (fitness/subscription/membership/benefits analytics is an advantage)

• Very good SQL and advanced Excel

• Experience analyzing customer behavior (funnels, retention, churn, cohorts) and turning numbers into actionable recommendations

• Statistical modeling experience (e.g., churn prediction/scoring) in SAS, Python, R, or similar, including validation against simple baselines

• Reporting tool experience: Power BI, Tableau, Looker, or similar; ability to design reports from business questions

• Analytical accuracy: reconcile metrics with sources, document assumptions, distinguish measurement artifacts from real behavior, and state what data cannot answer

• Communication skills for presenting funnels and models to country managers and executive leadership

• English C1 and Polish C1

Benefits

• Employment contract (full-time)

• Hybrid work model (Warsaw office)

• MBO bonus

• Benefits package: MultiSport, MultiLife, Luxmed, MyBenefit cafeteria, English classes, Lunch Card