Senior Category Analytics Lead - Merchandising Growth

Dentsu Aegis Network Ltd.; Atlanta (GA); On-site; USD 72,000 - 110,000; Full time

Benefits offered by this job

Medical, vision, dental insurance

401k

Paid time off and holidays

Parental leave

Job summary

Merkle is seeking a Lead Analyst in Category Management Analytics to drive analytics for a major retail account. You will own the category craft end-to-end, including assortment, pricing, and space decisions, partnering with merchants to translate insights into actions.

You will combine business acumen with strong technical skills in Python, SQL, and cloud platforms to deliver defensible analyses, data products, and measurable category wins for clients.

Qualifications

• 4+ years in category management analytics, merchandising analytics, or related fields.
• Experience building CDT-based decision models and attribute-level demand analyses.
• Strong business acumen with ability to read P&Ls and lead client discussions.
• Experience leading blended onshore/offshore delivery teams.
• Familiarity with AI/ML tools and modern analytics datasets.

Responsibilities

• Lead category analytics across assortment, space, and pricing decisions for a major account.
• Own CDT, demand transferability, and price/promotion within the category.
• Build data products and dashboards to support line-review and business reviews.
• Guide engineers and data scientists, setting standards and managing risk.

Skills

Category management analytics

Python

SQL

Cloud computing

CDT & demand transferability

Assortment optimization

Space localization

Leadership (onshore/offshore)

Consulting experience

Tools

Python

SQL

GCP/AWS/Azure

GenAI/LLMs

BI tools

Job description

Merkle is seeking a Lead Analyst in Category Management Analytics to drive analytics for a major retail account. You will own the category craft end-to-end, including assortment, pricing, and space decisions, partnering with merchants to translate insights into actions.

You will combine business acumen with strong technical skills in Python, SQL, and cloud platforms to deliver defensible analyses, data products, and measurable category wins for clients.