Growth Analytics Executive/Sr. Executive İş İlanı

About the Role We are looking for an experienced and analytical professional to turn complex data into actionable insights that support strategic decision-making across Growth, Marketing, Product, and Business teams. In this role, you will combine internal product and user data with external market insights, validated metrics, and experimentation results to identify opportunities, optimize performance, and drive sustainable growth. You will be expected to ask the right questions, solve problems efficiently, validate data accuracy, communicate findings clearly, and measure the business impact of your recommendations. What You'll Do Act as an analytical partner to the Growth team, translating business strategies and objectives into data-driven insights and recommendations. Analyze product, user, and event-level data from Marketing, CRM, and Product teams to support campaign management, validate results, and identify optimization opportunities. Define, track, and evaluate key user, product, and business performance metrics and KPIs. Support the analytical requirements of LRFM (Length, Recency, Frequency, Monetary) models and dynamic segmentation frameworks. Conduct in-depth analyses across onboarding, activation, conversion, payment flows, feature adoption, cohort behavior, retention, churn, and monetization. Develop dashboards, monitoring systems, recurring reports, and reusable analytical solutions, automating processes wherever possible. Contribute to the hypothesis development, success metric definition, analysis, and evaluation of A/B tests and other experiments, taking end-to-end ownership when required. Collaborate closely with cross-functional teams, including Product, Growth, Marketing, CRM, Business, Engineering, Operations, and Customer Experience. Investigate anomalies, identify root causes, and present findings and actionable recommendations to both technical and non-technical stakeholders. Own and prioritize analytical initiatives and roadmaps, ensuring that recommendations translate into measurable business outcomes. What We're Looking For 5+ years of relevant experience in product analytics, growth analytics, customer analytics, CRM, segmentation, business intelligence, or data analytics. Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Management Information Systems, or a related quantitative field, or equivalent practical experience. Advanced SQL skills, including complex joins, aggregations, segmentation, cohort analysis, and data validation. Proficiency in Python or R, with hands-on experience in libraries such as pandas and NumPy and analytical process automation. Strong understanding of KPIs, funnel analysis, customer lifecycle metrics, and translating analytical findings into business decisions. Hands-on experience with at least one business intelligence or data visualization tool. Solid statistical reasoning and experience interpreting A/B test results, with the ability to design and evaluate experiments independently. Ability to translate ambiguous business questions into structured analytical approaches and communicate findings clearly to non-technical stakeholders. Nice to Have Experience with BigQuery, Airflow, dbt, ETL/ELT pipelines, data warehouses, Git, or data observability tools. Proficiency in multiple BI and visualization tools, such as Looker, Tableau, Power BI, Qlik, or Looker Studio. Familiarity with GA4, Google Tag Manager, Firebase, AppsFlyer, Adjust, Hotjar, or event tracking and data-layer implementations. Experience in fintech, payments, digital wallets, cards, e-commerce, marketplaces, subscription-based businesses, or high-growth digital products. Knowledge of advanced analytical techniques, including customer segmentation, cohort analysis, LTV, CAC, ARPU, propensity modeling, forecasting, regression, time series analysis, or econometrics. Experience in CRM and lifecycle analytics, campaign performance measurement, personalization, or monetization strategies. Ability to work effectively with technical documentation and product-related materials in English.