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Huda Beauty

Direct-to-consumer beauty brand: makeup and skincare

Data Analytics Manager - Media and Digital Performance

Data AnalysisConfirmed live in the last 24 hours
Full-timeDubai - United Arab EmiratesNo salary listed

About the Job

Requirements

  • Six to eight years of relevant hands-on experience in media or digital analytics, with a proven track record of executing analysis end-to-end on the client side (CPG/FMCG, beauty, DTC) or agency side.
  • A bachelor's or master's degree in Media, Marketing, or a relevant field of study.
  • Expert-level hands-on experience with digital media platform reporting tools and APIs, such as Meta Ads Manager, TikTok Business Suite, Google Ads, or DV360.
  • Direct experience analyzing paid media performance across multiple channels, including social, search, programmatic display or video, and affiliates, and platforms including Meta, TikTok, Google Search, YouTube, and DV360.
  • Demonstrated experience informing media optimization decisions through data and working closely with global and local media teams, agencies, and broader marketing teams.
  • Strong understanding of media and digital key performance indicators across the funnel.
  • Working knowledge of attribution approaches, including incrementality, multi-touchpoint attribution, and marketing mix modeling.
  • Strong data storytelling skills and the ability to turn complex analysis into clear, actionable recommendations for non-technical and senior audiences.
  • A commercial mindset that connects media and digital performance to business outcomes such as brand and sales.
  • Ability to own projects independently from problem definition through 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 and experience working with technology teams on business intelligence tools such as Power BI, Looker, or Tableau, and web analytics platforms such as GA4, Google Tag Manager, and platform pixels.

Responsibilities

  • Independently analyze media performance across paid channels, including paid social, search, programmatic display and video, and influencer amplification, measuring efficiency metrics such as CPM, CPC, CPA, and CAC, and effectiveness metrics such as target reach, frequency, audience penetration, and ROAS.
  • Generate and deliver optimization recommendations for budget allocation, audience targeting, creative, and channel mix to support the Media and Growth team with in-flight optimization.
  • Support media planning and budgeting with forecasting, scenario modeling, and historical performance benchmarks.
  • Collaborate with global and local media experts on post-campaign deep dives and produce clear learnings to inform future activity.
  • Analyze performance to date by country, channel, platform, placement, and creative to identify media performance drivers and derailers, and codify findings into guidelines and guardrails to improve media execution.
  • Present findings and recommendations clearly to stakeholders, including senior leadership, using data storytelling.
  • Build and run media effectiveness analyses using performance data and incrementality or lift tests, building toward attribution and marketing mix modeling in collaboration with partner platforms or external vendors where applicable.
  • Define and document media metrics and key performance indicator definitions to ensure consistency across teams.
  • Build and implement a global campaign naming convention and drive compliance across media buys to enable detailed media insights and inform future media strategy and performance.
  • Audit and validate tagging and tracking setups, including GA4, Google Tag Manager, platform pixels, and UTM tracking; identify gaps and work with media teams, markets, and agencies to resolve them.
  • Work with the Technology Data team to build and maintain clean, reliable media datasets for consistent, accurate, automated reporting and future attribution or mix modeling.
  • Ensure analysis and data handling comply with privacy regulations such as GDPR and consent requirements.
  • Leverage and integrate AI to enable near-real-time learning and optimization across data collection, data validation, dashboard reporting, and visualization through partially or fully automated workflows, covering media and digital KPIs alongside business indicators in collaboration with the Technology team.
  • Identify opportunities for AI to improve analytical methods, tools, and processes where they add value.

Desired Qualifications

  • Experience applying AI to streamline or automate reporting and analytical workflows.

About the Company

Huda Beauty

Direct-to-consumer beauty brand: makeup and skincare

Huda Beauty makes makeup, skincare, and fragrances for a global audience, including lines like KAYALI for fragrances and WISHFUL for skincare. Products are developed as quality cosmetic formulas and scents and are sold primarily through the brand’s website and select retail partners, with purchases completed online or in stores. The company is distinguished by a strong social media presence and influencer network, plus brand extensions that create a broader ecosystem under one name. Its goal is to lead the beauty market by offering trend-focused, high-quality products and building a loyal, globally connected customer base through direct-to-consumer channels and selective partnerships.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Dubai, United Arab Emirates
Founded
2013

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