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The Director, Business Intelligence will lead enterprise-wide analytics strategy for a major consumer packaged goods (CPG) organization. This role is responsible for building and leading a high-performing team of analysts delivering actionable insights across sales forecasting, retail performance, campaign measurement, and influencer/paid/social strategy optimization. This leader will serve as a strategic thought partner to Sales, Marketing, Brand, eCommerce, Finance, and Executive Leadership, translating data into commercial growth opportunities, driving ROI, and embedding analytics into core business decision-making. The role combines strategic vision, technical depth, cross-functional leadership, and team development.
Job Responsibility:
Act as a senior analytics partner to client account, strategy, and service teams by translating client objectives into scalable, best-in-class measurement frameworks that support social-first marketing performance
Serve as the senior analytics advisor to executive leadership, shaping marketing, retail, and social investment decisions through data-driven insights
Elevate analytics from reporting to strategic advantage by synthesizing data into clear narratives that inform brand positioning, channel strategy, and enterprise decision-making
Own end-to-end measurement strategy across paid media, influencer, social, and retail media, ensuring clear linkage between investment and revenue outcomes
Forecast and quantify incremental revenue and retail lift across eCommerce and offline retail partners by developing predictive models that connect media spend, influencer engagement, and social performance to sales velocity and conversion
Design and operationalize robust ROI frameworks, including brand lift studies, sales lift studies, incrementality testing, multi-touch attribution, and marketing mix modeling, translating insights into optimized channel mix and budget allocation
Build scalable measurement systems to evaluate influencer effectiveness, content performance, audience growth, and conversion impact, informing creative strategy and platform optimization
Identify emerging consumer and digital engagement trends to inform brand strategy, innovation, and go-to-market planning
Build, lead, and mentor a high-performing analytics team, fostering a culture of analytical rigor, commercial acumen, and executive-ready storytelling
Design and oversee scalable data collection and reporting infrastructure, including structured databases, automated reporting workflows, dashboards, and standardized presentations
Requirements:
Extensive experience in marketing, media, or agency environments, with demonstrated ability to apply analytics and research to drive client strategy and business outcomes
Bachelor’s or Master’s degree in a relevant field (Social Sciences, Statistics, Data Science, Business Analytics, or related discipline), or equivalent practical experience
12+ years of progressive experience in research, analytics, and measurement, with a proven track record of leading complex, high-impact initiatives
Advanced expertise in primary and secondary research methodologies, including brand tracking, brand and communications strategy, brand lift studies, regression analysis, Market Mix Modeling, social listening, and digital and site analytics
Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure, and BI tools such as Sigma or comparable platforms for scalable reporting and dashboarding
Demonstrated ability to architect and optimize analytics workflows, data pipelines, and reporting systems that support automation, scalability, and self-serve insights
Strong executive-level communication and collaboration skills, with the ability to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders
Proven ability to influence cross-functional teams and senior client stakeholders, providing strategic guidance grounded in data, research rigor, and business context