Data Analytics Manager - Media and Digital Performance

Summary : As Data Analytics Manager Media and Digital Performance, you will be a hands-on expert individual contributor responsible for analyzing media performance across all paid channels and turning insights into optimization recommendations as part of our Global Paid Media & Growth team. You will lead post-campaign deep dives and ad hoc analyses, collaborate closely on dashboard and reporting automation with our Technology team, and help develop our overall media effectiveness capabilities. You will also own media data quality and governance, including KPI definitions, a global campaign naming convention and tracking/tagging audits, ensuring our media data is accurate, consistent, and ready to inform future strategy and plans. Essential Duties and Responsibilities : 1. Media and Digital Performance Analysis • Independently analyze media performance across channels (paid social, search, programmatic display and video, influencer amplification ), measuring efficiency (CPM, CPC, CPA, CAC ) and effectiveness (reach on target, frequency, audience penetration, ROAS ) • Generate and deliver optimization recommendations across budget allocation, audience targeting, creative, and channel mix to support the broader Media & Growth team on in-flight optimization • Support media planning and budgeting with forecasting, scenario modelling, and historical performance benchmarks 2. Intelligence and Reporting • Collaborate with media experts at global/local to conduct post-campaign deep dives and produce clear learnings to inform future activity • Unpack and analyze to-date performance using different lens (e.g. country, channel, platform, placement, creative ) to capture media performance drivers/derailers and codify them into guidelines/guardrails to improve all media execution • Present findings and recommendations clearly to stakeholders, including senior leadership, using strong data storytelling • Build and run media effectiveness analyses by leveraging performance data, incrementality/lift tests etc. building towards attribution modelling and mix modelling (MMM), working directly with partner platforms and/or external vendors where applicable. 3. Data Quality and Governance • Define and document media metrics & KPI definitions to ensure consistency across teams • Build & implement a global campaign naming convention and drive the compliance of all media buys to allow generation of detailed media insights, informing future media strategy and performance • Audit and validate tagging and tracking setups (e.g. GA4, Google Tag Manager, platform pixels, UTM tracking), identifying gaps and working with media team and markets/agencies to resolve them • Work hand-in-hand with Technology Data team to build & maintain clean, reliable media data sets that support consistent, accurate & automated reporting and future attribution/mix modelling • Ensure analysis and data handling comply with privacy regulations (e.g. GDPR) and consent requirements 4. AI-Enabled Workflows • Leverage and integrate AI to enable near real-time learnings/optimization from data collection, to data validation (QA), to dashboard reporting & visualization with partially/fully automated workflows covering media and digital KPIs crossed with business indicators, in close collaboration with Technology team • Proactively identify opportunities for AI to improve analytical methods, tools, and processes, where they add value • Monthly Self Love Days at company discretion • Premium Medical/Dental/Vision coverage for employee plus dependents • Monthly coaching sessions with our in-house Success Coach • Employee discounts on all Huda Beauty products • Quarterly product gifting Huda Beauty is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know. • 6 - 8 years of relevant hands-on experience in media/digital analytics, with a proven track record of executing analysis end-to-end whether on client side (CPG/FMCG, beauty, DTC) or agency side • Bachelor s or Master s degree in Media, Marketing or relevant field of study • Expert-level hands-on experience with digital media platform reporting tools and APIs (Meta Ads Manager, TikTok Business Suite, Google Ads/DV360 ) • Direct experience analysing paid media performance across multiple channels (social, search, programmatic display/video, affiliates) and platforms (Meta, TikTok, Google Search, YouTube, DV360 ) • Demonstrated experience informing media optimisation decisions through data, working closely with global/local media teams, agencies and broader marketing teams • Strong understanding of media and digital KPIs across the funnel • Working knowledge of attribution approaches (incrementality, multi-touchpoint, MMM ) • Strong data storytelling skills, with the ability to turn complex analysis into clear, actionable recommendations for non-technical and senior audiences • Commercial mindset, connecting media and digital performance to business outcomes (brand, sales ) • Highly self-directed and comfortable owning projects independently from problem definition to delivery • Strong attention to detail and a rigorous approach to data accuracy • Ability to manage multiple stakeholders and competing priorities in a fast-paced environment • Curiosity and a proactive approach to staying current with changes in the media and measurement landscape • Familiarity with and experience working with Tech teams on BI tools (Power BI, Looker, Tableau); as well as web analytics platforms (GA4, GTM, platform pixels ). Experience applying AI to streamline/automate reporting/analytical workflows highly preferred.