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Job Description
Roles & Responsibilities
- Build and refine loyalty metrics to identify growth opportunities and inform decision-making.
- Develop dashboards, data structures, data quality checks, and other solutions to make loyalty insights widely accessible.
- Translate business requirements and questions into clear analytical frameworks, generating hypotheses and actionable insights.
- Partner closely with product, marketing, and engineering teams to collaborate on strategic direction and ad hoc requests.
- Design, execute, and analyze A/B and multivariate experiments to optimize loyalty features, offers, and user journeys.
- Create clear and engaging data visualizations and reports that make complex insights easy to understand.
Desired Candidate Profile
- Minimum of 3 years of work experience as a data/product analyst, ideally in consumer-facing digital products.
- Proven expertise in designing and running A/B tests, including sample size estimation, statistical methods, and interpreting results.
- Proficiency in SQL and relational databases.
- Proficiency in data visualization tools, particularly Tableau.
- Experience in planning data structures for new products and features.
- Strong knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, Scipy, etc.)
- Strong quantitative skills and a structured approach to problem-solving. Ability to analyze issues, identify root causes, and recommend solutions.
- Experience in loyalty programs, CRM analytics, or customer retention strategies would be an advantage.
- Background in behavioral analytics and/or user segmentation is a plus.
- Excellent verbal and written communication skills, with the ability to interact with business and product teams.
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