Customer Analytics Specialist

For our client, an international organization operating in the employee benefits sector, we are looking for a Customer Analyst . The role focuses on customer and user analytics across two business areas: B2B subscription-based employee benefits and fitness club operations. The main objective is to analyze customer behavior, identify factors influencing acquisition, engagement, retention, and churn, and evaluate the effectiveness of marketing activities. The position combines Customer Analytics, Digital Analytics, Business Intelligence, and Predictive Modeling , supporting data-driven decision-making across international markets.

Daily tasks

• Analyze customer behavior, engagement, retention, churn, segmentation, and customer lifecycle trends.
• Develop and maintain BI dashboards and reports to support business decisions across multiple markets.
• Build and validate statistical and predictive models, including customer churn prediction and retention analysis.
• Evaluate marketing campaign performance, customer acquisition costs, conversion rates, and customer journeys.
• Perform funnel analysis, cohort analysis, and assess the effectiveness of customer retention initiatives.
• Integrate and analyze data from multiple sources, including CRM systems, data warehouses, transactional systems, mobile applications, and web analytics platforms.
• Define and monitor business KPIs, ensuring data accuracy, consistency, and reliability.
• Support web and mobile analytics, including event tracking validation and data collection quality.
• Assess business initiatives using comparative analysis, A/B testing, and statistical methods.
• Translate analytical findings into actionable business recommendations and present insights to stakeholders, including senior management.

Requirements

2 - 4 years of experience in Customer Analytics, Product Analytics, Marketing Analytics, or Digital Analytics. Strong SQL skills, including writing complex queries, joining datasets, and performing data analysis. Advanced proficiency in Microsoft Excel . Hands-on experience with BI and data visualization tools such as Power BI, Tableau, Looker , or similar. Experience analyzing customer behavior, retention, churn, customer segmentation, conversion funnels, or cohort performance. Practical experience with statistical or predictive modeling using Python, R, SAS , or equivalent analytical tools. Ability to interpret statistical results, evaluate analytical models, and provide actionable business recommendations. Experience working with data from multiple systems, including data validation and quality assessment. Strong analytical thinking and the ability to communicate complex findings to non-technical stakeholders. Polish and English at C1 level. Nice to have: Experience with Google Analytics 4 (GA4), Google Tag Manager (GTM), BigQuery , or Looker Studio. Knowledge of digital marketing analytics, including Google Ads, Meta Ads, campaign attribution, and UTM tracking. Experience with DAX, Power Query , and data modeling in Power BI. Familiarity with Microsoft Dynamics, Dataverse , or Power Automate. Knowledge of hypothesis testing, experimental design, and A/B testing. Experience in subscription-based businesses, e-commerce, fitness, or B2B/B2C services. Experience analyzing CRM data, NPS, membership systems, or customer engagement metrics.

Must have: SQL, Data analysis, Excel, BI, Data visualization, Power BI, Tableau, Looker, Segmentation, Python, R, SAS

Nice to have: Google Analytics, Google Tag Manager, GTM, BigQuery, Looker Studio, Digital marketing, Google Ads, Meta Ads, DAX, Power Query, Data modeling, Microsoft Dynamics, Power Automate, Testing, CRM