📣We are looking for a Data Analytics Manager to join our Product & Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!

What You’ll Do

• Lead, mentor, and grow a team of data analysts, delivering high-quality insights to support business and product goals.
• Define the roadmap for analytics initiatives, including user behavior analysis, segmentation, cohort analysis, churn prediction, and performance measurement.
• Collaborate with Product Managers, Marketing, Operations, and UX teams to translate insights into actionable recommendations.
• Develop dashboards, reporting frameworks, and key performance metrics to monitor product and business health.
• Support A/B test design, implementation, and impact measurement, applying causal inference methods where appropriate.
• Partner with data engineering to maintain reliable, scalable, and high-quality data pipelines.
• Stay informed on industry developments in analytics, experimentation, and user behavior modeling.
• Interpret real-time user data (for applications, web, and backoffice tools)

Who You Are

• 8+ years of experience in data analytics, business intelligence, or related roles, with at least 2 years managing a team.
• Proficient in SQL, Python/R, Excel, and BI tools (Looker, Tableau, Power BI, QlikSense).
• Implementation and reporting knowledge of tools such as Google Analytics, Looker, and Adobe Analytics.
• Knowledge of BigQuery is a plus.
• Strong track record in e-commerce, retail, or digital consumer businesses.
• Skilled in advanced analytics techniques, including segmentation, predictive analytics, and experimentation.
• Strategic thinker who can translate business problems into actionable analytics solutions.
• Excellent communicator, able to present complex findings in actionable ways.
• Passionate about mentoring a high-performing team and fostering a data-driven culture.
• Experience in personalization, recommendation systems, or marketing attribution analytics.
• Professional competence in English language.

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