Sr. Retail SQL Analyst

Location: Kissimmee, FL - hybrid

w2 only

Analyze retail data, with strong emphasis on soft line retail (apparel, e.g., shirts), to generate business insights and support decision-making.
Leverage at least 3 years of analytical and retail industry experience to assess and improve key performance indicators (KPIs).
Utilize intermediate SQL skills for data discovery, storage understanding, and data retrieval.
Collaborate with data scientists, engineers, and business stakeholders to bridge business needs and technical solutions.
Support both Theme Parks and Ecommerce retail divisions through data-driven analytics.
(Nice-to-have) Develop data visualizations and dashboards using Tableau or similar tools.
(Nice-to-have) Apply pricing analytics (comprising 60% of the role) to optimize retail strategies.
(Nice-to-have) Work with cloud data platforms (Snowflake, BigQuery, Redshift) and utilize Python for data analysis.
(Nice-to-have) Assist with data preparation, light modeling, A/B testing, and basic statistical analysis.
(Nice-to-have) Background in Business Intelligence and a related bachelor's degree.
Opportunity to grow skills in AI chatbot operations, automation, business process analysis, and AI-driven projects.