Director – Commerce Analytics, Intelligence

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Merkle in Germany seeks a senior analytics leader to develop best-in-class strategies and manage Insights and Analysis for assigned clients. You will be the senior analytics voice, trusted advisor, owning analytics across consumer decision modeling, semantic layers, pricing, assortment, digital shelf, and competitive intelligence.

Lead onshore/offshore teams and drive governance. This role reports to practice leadership and aims to convert value into account expansion while contributing talent

Qualifikationen

• 8+ years in commerce, retail, or merchandising analytics.
• Deep depth in at least two of: pricing/promotion, assortment/space, consumer decision modeling/CDT, or digital-shelf intelligence.
• Fluent business acumen across the four Ps and related levers.
• Strong AI/ML, Python, SQL, and cloud computation skills.
• Experience with GCP, AWS, or Azure.
• Familiarity with LLMs/GenAI, semantic and decisioning layers, and attribution platforms.
• Experience leading senior client relationships as a trusted advisor.
• Experience navigating large, matrixed client organizations.
• Experience leading blended onshore/offshore teams across time zones.
• Ability to translate business intent into a technical plan and maintain delivery quality.
• Experience in big-box or enterprise retailer merchandising, pricing, or online org is an advantage.
• Experience standing up a decisioning/semantic-layer product or engine is an advantage.
• Track record of converting delivery relationships into strategic partnerships is an advantage.

Aufgaben

• Develop and manage Insights and Analysis strategies for assigned clients.
• Serve as senior analytics advisor to the client.
• Own analytics across consumer decision modeling, semantic layers, pricing, assortment, digital shelf, and competitive intelligence.
• Lead a blended onshore/offshore project team.
• Assemble teams around projects and allocate work per project needs.
• Establish weekly delivery status reporting with milestones, risks, and dependencies.
• Conduct monthly project-based business readouts for each area.
• Maintain a value scorecard showing client investment returns.
• Ensure documentation, workflows, and governance in the client's environment.
• Convert delivered value into account expansion and forward pipeline.
• Report into practice leadership and drive analytics craft for the account.
• Draw talent from Merkle's shared global pool.

Kenntnisse

Analytics Strategy Development

Client Relationship Management

AI And Machine Learning Expertise

Python And SQL Proficiency

GCP AWS Azure Experience

Tools

GCP

AWS

Azure

Machine Learning Services

Decisioning Layer Tools

Semantic Layer Tools

Jobbeschreibung

• Develop best-in-class strategies and manage Insights and Analysis activity for assigned clients
• Serve as the senior analytics voice and trusted advisor for the client
• Own the analytics discipline across consumer decision modeling, semantic/decisioning layers, pricing and promotion, assortment and localization, digital shelf, and competitive intelligence
• Lead a flat, project-based blended onshore/offshore team
• Assemble teams around projects and lead work according to project needs
• Establish weekly delivery status reporting with milestones, risks, and dependencies
• Conduct monthly project-based business readouts for each area
• Maintain a value scorecard showing client investment returns
• Ensure solutions have current documentation, clear workflows, and governance standards in the client's environment
• Convert delivered value into account expansion and contribute to the forward pipeline
• Report into practice leadership while leading the analytics craft for the assigned account
• Draw talent from and contribute talent to Merkle's shared global pool

Requirements

• 8+ years in commerce, retail, or merchandising analytics
• Real functional depth in at least two of: pricing and promotion, assortment and space, consumer decision modeling / CDT, or competitive and digital-shelf intelligence
• Fluent business acumen across the four Ps and related business levers
• Strong technical expertise in AI and machine learning, Python, SQL, and cloud computation
• Experience with GCP, AWS, or Azure and their data/ML services
• Fluency with LLMs and agentic/GenAI, semantic and decisioning layers, experimentation and attribution platforms, and modern BI
• Experience leading senior client relationships as a trusted advisor
• Experience navigating large, matrixed client organizations
• Experience leading blended onshore/offshore teams across time zones
• Ability to translate business intent into a technical plan and maintain delivery quality and timelines
• Direct experience inside a big-box or enterprise retailer's merchandising, category management, pricing, or online organization is an advantage
• Experience standing up a decisioning or semantic-layer product/business decision engine is an advantage
• Track record of converting delivery relationships into strategic, consultative partnerships and growing them is an advantage

Core Competencies

Demonstrates expertise in analytics strategy development, client relationship management, and team leadership within the commerce and retail sectors. Proficient in translating business needs into technical solutions while ensuring delivery quality and governance standards.

Highest-signal resume keywords

• Analytics Strategy Development
• Client Relationship Management
• AI And Machine Learning Expertise
• Python And SQL Proficiency
• Experience With GCP, AWS, Or Azure

Hard Skills

• Consumer Decision Modeling
• Pricing And Promotion Analysis
• Assortment And Space Management
• Digital Shelf Intelligence
• Business Intelligence (BI)
• Experimentation And Attribution Platforms
• Semantic And Decisioning Layers
• Cloud Computation
• Data Analysis
• Value Scorecard Maintenance

Soft Skills

• Leadership
• Communication
• Project Management
• Consultative Partnership Development
• Team Collaboration

Industry Keywords

• Commerce Analytics
• Retail Analytics
• Merchandising Analytics
• Category Management
• Big-Box Retail Experience

Tools & Technologies

• GCP
• AWS
• Azure
• Machine Learning Services
• Decisioning Layer Tools
• Semantic Layer Tools