Technical Analyst

Title:

Technical Analyst

Location:

Orlando Duration:
Contract Compensation: $80-85/hour Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Description

The Merchandise Business Insight and Analytics (MBIA) team is part of the CPGP organization, which creates and sells products worldwide. The MBIA team supports the full retail lifecycle by providing analytics, reporting, and insights that empower data‑informed decision‑making for a broad community of stakeholders across Category and Location Planning, Product Development, Merchandising, and Retail Operations.

We are seeking a Senior Analyst to support retail analytics initiatives. 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 the global retail footprint.

• This role will report to the Sr. Manager, Data Science.
• Deliver Actionable Business Insights:
  Conduct deep‑Dive analyses on retail performance including pricing and promotional effectiveness, customer behavior, 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, Big Query) 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.

• 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, marketing, 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, Big Query, 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.

• 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, Num Py, matplotlib); ability to support data preparation and light modeling tasks.
• Knowledge of A/B testing concepts and basic statistical techniques.

• Bachelor's Degree or equivalent

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