Job Description

DFS (LVMH group) is the world's leading luxury retailer catering to the traveling public. We are currently seeking a Director, Digital and CRM Analytics to join our team. This is a new role heading up CRM lifecycle analytics, digital analytics and marketing attribution strategy to drive ROI on marketing programs, best-in-class user experience, and data integrity. You will be responsible for analyzing customer data in order to drive customer engagement and growth. Your team will measure the impact of the marketing spend throughout the entire funnel from awareness to conversion; across a variety of advertising/media channels and CRM strategies to identify the return on advertising spend. The candidate will be a key data evangelist to inspire the internal organization with quantitative case studies on effective outcomes across online & offline activations. You will have experience building and leading an analytics team, working with large data sets, and driving data-driven decisions. You are a great fit if you have a strong bias towards action, enjoy finding patterns amidst chaos, and have demonstrated success in using analytics to drive business impact. We’re looking for someone who has the technical skills to surface insights quickly, and the interpersonal skills to communicate those insights in a way that persuades action.
Key Responsibilities:
• Lead overall strategy for analytics across Marketing (CRM/loyalty, display, search and e-mail, WeChat, and any other media channel)
• Develop analytical approach of customer acquisition programs including digital, retail and other channels required to achieve our brand growth goals.
• Perform exploratory and predictive analytics, including customer/prospect behaviour patterns using a combination of descriptive statistics, segmentation techniques, and predictive modelling to inform and impact business decisions.
• Synthesize complex data analytics into easily understood concepts and create data visualization and dashboards that will be shared at all levels of management.
• Demonstrate expertise in data mining, analysis, and insight generation to enable data-driven decision making.
• Build, manage, test incremental ROAS models, including marketing mix and multi-touch attribution.
• Lead multivariate and A/B testing as an ongoing discipline to constantly improve campaign audience targeting, partner placement, and messaging.
• Translate the result of the attribution model/testing towards action to drive value across the Marketing channels being tracked
• Understand offline data integration points - POS, external site activity, CRM, location-based tracking, offline paid media - predominantly deterministic, potentially probabilistic models.
• Proactively lead and drive comprehensive audits and analysis on web data and guide the team to deliver insightful deliverables (dashboards, reports, deep analysis, etc.) that can bring a positive impact to the business.
• Develop and provide reporting to management on performance of analytics partnerships and success of overall Analytics business.
• Provide actionable insights and recommendations to improve business performance by leveraging technology tools that engage the customer to provide information.
• Ensure customer learnings are integrated into appropriate business processes
• Maintain an awareness of competitive information and key industry trends to provide context for program performance.
• Lead a team of 8 data analysts and develop them into future leaders.
Key Requirements:
• 8+ years of analytics / data science experience or equivalent; 4+ years of experience managing and scaling high growth analytics teams
• Skilled at running cross-functional relationships and communicating with leadership across multiple organizations
• Proficiency in one or more analytics & visualization tools: Google Analytics (360), Adobe Omniture, Visual IQ, Salesforce, Optimizely, Google Optimize, and any other analytics & visualization platforms
• Able to read/write basic HTML and Javascript and query databases with SQL
• Experience reading API documentation and understanding the technical requirements for implementation with other platforms
• Experience in tag architecture analysis and using tagging platform(s) to execute proper data flow
• Ability to explain architecture proposals to non-technical audiences and communicate business value of suggested ideas & plans
• Experience working with and subjectively evaluating leading industry technology vendors, external publishers/networks and ad tech partners.
• Well versed in Advertising technology, including 3rd party ad-serving and tag management solutions and programmatic ad buying platform
• Extensive experience with A/B and Multivariate test design and
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