Retail Analyst

Role We are seeking a Senior Analyst to support retail analytics initiatives across both theme parks and The Store e-commerce division. This role will focus on delivering high-impact business insights through data exploration, dashboard development, and analytical modeling to support areas such as merchandise planning, promotional performance, inventory health, and operational efficiency. The ideal candidate brings strong business acumen, retail expertise, and technical proficiency in SQL, Data Visualizations (e.g., Tableau), and Python (preferred). This role plays a critical part in transforming data into actionable insights that improve business performance, guest experience, and strategic outcomes across global retail footprint. Must Have: 1.) Retail experience – 4+ years 2.) SQL – 4+ years 3.) Visualization Development / Tableau– 4+ years Responsibilities • Deliver Actionable Business Insights: Conduct deep-dive analyses on retail performance including pricing and promotional effectiveness, customer behaviour, and product lifecycle to inform merchandising and planning decisions. • Build and Maintain Visual Dashboards: Develop intuitive, automated Tableau dashboards and self-service reporting tools to monitor key performance indicators and support cross-functional teams in decision making. • Collaborate with Cross-Functional Teams: Partner with merchandising, marketing, finance, and technology stakeholders to translate business needs into data-driven solutions and clearly communicate analytical findings. • Develop Scalable Analytical Solutions: Write robust SQL code to query, clean, and manipulate large datasets from cloud-based sources (e.g., Snowflake, BigQuery) in support of repeatable, scalable analytics workflows. • Support Data Science Initiatives: Collaborate with data scientists on advanced projects by preparing data inputs, conducting exploratory data analysis, and validating model outputs to ensure business relevance. Basic Qualifications • Education & Experience: Bachelor's degree in mathematics, Economics, Data Analytics, Computer Science, or a related field, or 4+ years of relevant experience in a retail analytics or business intelligence role. • Business Acumen (4+ years): Strong understanding of retail KPIs and operations with the ability to translate data into meaningful business recommendations that drive revenue, efficiency, or guest satisfaction. • Retail Analytics (4+ years): Experience supporting the business including merchandising, buying, planning, operations, marking, etc. in retail environments across brick-and-mortar and ecommerce channels. Familiarity with retail inventory systems, POS data, and product lifecycle metrics. • SQL & Data Management (4+ years): Advanced SQL skills to extract, join, and transform large datasets; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift. • Dashboarding & Data Visualization (4+ years): Expert-level experience building dashboards and reports in Tableau or similar tools to drive self-service analytics and business storytelling. Preferred Qualifications • Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field. • Python for Analytics (3+ years): Proficiency in Python for data analysis (e.g., using pandas, NumPy, matplotlib); ability to support data preparation and light modeling tasks. • Knowledge of A/B testing concepts and basic statistical techniques.