Data and Analytics Global Manager - Proprietary Digital Screens (LIFT)

About the Role

Key Responsibilities

• Design, build, and maintain a scalable reporting and analytics infrastructure for the LIFT digital screen platform, ensuring accuracy, timeliness, and accessibility of performance data across campaigns.
• Own the end-to-end data lifecycle - from ingestion to visualization - for all retail media KPIs associated with digital screens.
• Lead governance practices to ensure alignment of data definitions and metrics across departments (Marketing, Media Sales, IT, and Operations).
• Collaborate closely with the Campaign Planning and Retail Media teams to track, analyze, and report on campaign performance (e.g., impression delivery, screen uptime, CTR, dwell time).
• Proactively identify trends and provide insights to optimize content delivery, targeting, and scheduling strategies for LIFT campaigns.
• Create post-campaign reports to evaluate impact and recommend enhancements for future execution.
• Partner with third-party developers and internal IT to manage data validation, migration, cleansing, and integration processes between systems.
• Perform regular audits to ensure data integrity across the LIFT media ecosystem, including CMS, data lake, and external attribution vendors.
• Support technical implementation of tagging, event tracking, and metadata standardization for retail media content.
• Lead enhancement of Power BI dashboards used by cross-functional stakeholders, improving speed, interactivity, and relevance.
• Translate business questions into technical solutions that empower users with actionable insights.
• Recommend improvements in data visualization and user experience, in coordination with the IT and Data Engineering teams.
• Support ongoing business needs with customized analysis, forecasts, or deep-dives into screen usage, shopper interaction, and campaign impact.
• Serve as a strategic advisor to business stakeholders by transforming data into business narratives and visual storytelling.
• Provide training or onboarding sessions to key users of analytics dashboards and reports.

Requirements

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, or related field. Master’s degree is a plus.
• 5+ years in data analytics, business intelligence, or data engineering roles, preferably in retail, media, or consumer data environments.
• Strong proficiency in Power BI or similar tools (Tableau, Looker) with a portfolio of dashboards and reports.
• Proficient in SQL; experience with cloud-based data warehouses (e.g., Redshift, Snowflake) is strongly preferred.
• Solid understanding of digital media metrics, retail performance KPIs, and data validation best practices.
• Excellent communication skills with the ability to work cross-functionally and translate data findings into strategic insights.
• Experience with campaign attribution, media mix modeling, or screen-based analytics is a plus.

Nice to Have

• Experience with campaign attribution, media mix modeling, or screen-based analytics.

Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, or related field.
• 5+ years in relevant data roles.