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 position combines Customer Analytics, Digital Analytics, Business Intelligence, and Predictive Modeling, supporting data-driven decision-making across international markets.

• 2 - 4 years of experience in Customer Analytics, Product Analytics, Marketing Analytics, or Digital Analytics.
• Strong SQL skills, including writing complex queries and joining datasets.
• 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, 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 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.

• 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.