Manager, Performance Analytics - BW
UnileverAbout the role
JOB PURPOSE
Act as the primary analytics partner for your assigned brands, leading campaign measurement, performance reporting, and insights generation for all paid media activity. You will connect data signals to brand strategy and collaborate with Media, Creative, Planning, Retail, and Agency partners to drive stronger results.
As a hands-on-keyboard analyst, you will manage campaign setup requirements, reporting workflows, and deeper performance diagnosis to ensure brands have accurate, timely, and actionable insights across channels. Your role is critical to ensuring each brand has a highly customized view of media effectiveness and optimization opportunities.
Our Beauty & Wellbeing Business Group is reinventing how we connect with consumers, creating demand for our products through digital-first, culturally-led activations that drive desire. In the US, this vision is brought to life in our local Business Unit through some of the world’s most loved and trusted beauty brands: Dove, TRESemme, Nexxus, SheaMoisture and Vaseline.
KEY RESPONSIBILITIES
Manage the implementation of media measurement frameworks, ensuring proper setup and reporting for campaigns, ROI analysis, attribution, and evaluation of campaign effectiveness.
Collaborate with a team of analysts and internal stakeholders (e.g., Marketing, Customer Development, Data Engineering) and external partners/agencies.
Work across teams to advance the automation and visualization of media performance data, ensuring timely delivery of actionable insights to stakeholders.
Guide the development of predictive models and advanced analytics solutions for media mix optimization, audience segmentation, and channel performance.
Champion the adoption of new tools, methodologies, and best practices in media analytics.
Manage relationships with research and media agencies, ensuring alignment on KPIs and learning agendas.
Present complex findings to senior leadership, translating analytics into clear business narratives and recommendations.
Works closely with Data Engineering (for data and dashboards) and Advanced Analytics (for methodology and experimentation). Does not own data pipeline development or statistical model design.
REQUIRED QUALIFICATIONS
8+ years in media analytics, marketing science, or related fields (consumer goods experience preferred).
Demonstrated leadership of analytics teams and cross-functional projects.
Strong understanding of media measurement, ROI modeling, and campaign analytics.
Well-versed in major media platforms such as Google, Meta, TikTok, and others, with hands-on experience leveraging these channels for campaign execution and optimization.
Hands-on experience
Excellent storytelling, communication, and stakeholder management skills.
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