Data Analytics Manager - Media and Digital Performance

Who We Are: At Huda Beauty, our Vision is to lead in creating a democratized beauty industry where power is given back to people to define, create, and enjoy beauty for themselves! Launched by award-winning beauty powerhouse Huda Kattan in 2013, Huda Beauty is one of the world’s fastest growing beauty brands. As a company, we are fueled by purpose and not profit, this allows us to approach things differently so that we can create products, content, and a community like no other. A lot has changed since our launch in 2013, but something that will forever remain at the core of Huda Beauty is our focus on business excellence and our unwavering passion for kindness! 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: 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 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. 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 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 Benefits - 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.

Data Analytics Manager – Media and Digital Performance: 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 in-flight optimization; support media planning and budgeting with forecasting, scenario modelling, and historical performance benchmarks. Collaborate with global/local media experts to conduct post-campaign deep dives and produce learnings; unpack and analyze performance by country, channel, platform, placement, creative to identify drivers/derailers and codify guidelines; present findings to stakeholders including senior leadership with clear data storytelling; build and run media effectiveness analyses leveraging performance data, incrementality/lift tests, moving toward attribution/mix modelling (MMM) with partner platforms or external vendors. Define and document media metrics & KPI definitions; build a global campaign naming convention and ensure compliance of media buys for detailed insights; audit tagging and tracking setups (GA4, GTM, platform pixels, UTM) and resolve gaps with markets/agencies; work with Technology Data team to maintain clean, reliable media data sets for automated reporting and future attribution/mix modelling; ensure privacy compliance (GDPR) and consent requirements. Explore AI-enabled workflows for near real-time learnings/optimization across data collection, validation, dashboard reporting, and automated workflows; identify opportunities for AI to improve analytical methods, tools, and processes.