Data Analytics Manager

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.