Director – Commerce Analytics, Intelligence

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $136k - $190k / year

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 20%

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Logo of dentsu Austria

dentsu Austria

51 - 200 employees

Founded 1900

📣 Marketing

📱 Media

🏢 Enterprise

Marketing • Media • Enterprise

dentsu Austria is a part of the Dentsu Group, serving as an integrated growth and transformation partner to leading organizations worldwide. The company focuses on pushing the boundaries of business transformation and sustainable growth, providing world-class services and integrated solutions. Dentsu Austria is committed to innovating and creating experiences that enrich every business, with a strong emphasis on research, analysis, and media trends. By leveraging their global network of innovators, they strive to simplify complexities and drive impactful outcomes for brands, people, and society.

📋 Description

• 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

🏖️ Benefits

• Medical, vision, and dental insurance • Life insurance • Short-term and long-term disability insurance • 401k • Flexible paid time off • At least 15 paid holidays per year • Paid sick and safe leave • Paid parental leave • Flexible working arrangements, including remote designation depending on location and business needs

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