Responsibilities
- Build end-to-end measurement frameworks for digital journeys and behavior across channels, defining stage KPIs, event instrumentation, and north-star metrics to pinpoint friction and drive conversion.
- Aggregate and share cross-brand digital learnings via standardized playbooks, taxonomies, and reporting cadences; align stakeholders on common KPIs and data quality for scalable, data-driven decisions.
- Deliver marketing mix modeling and attribution within a disciplined framework—set inputs and governance, validate incrementality, and integrate outputs into planning to optimize budgets and channel performance.
- Drive the integration, operationalization, and scaling of AI platforms and capabilities across the market & business analytics stack—including adoption of machine learning and generative AI for digital consumer segmentation, experimentation, and insight automation to accelerate decision-making and business impact.
- Support measurement and optimization of A/B and multivariate tests to improve website and mobile experiences, increase conversion rates, and reduce drop-off across key funnel stages
- Lead predictive analytics initiatives and build advanced audience strategies (e.g., lookalikes, churn risk segments, product affinities, propensity) to power targeted media, onsite personalization, and lifecycle communications.
- Create executive-caliber visual storytelling artifacts—decks, dashboards, and one-page syntheses—that crystallize digital insights, quantify impact, and escalate actions to drive cross-functional accountability.
- Analyze performance against north-star KPIs aligned to broader business goals (conversion, retention, LTV, CAC:LTV), providing actionable insights and variance explanations.
- Manage external analytics partners and tools, ensuring deliverables align to business priorities and performance targets; assess competitive landscape and data/analytics advancements to inform best practices and innovation opportunities.
- Partner with technology teams to improve instrumentation, data quality, and integration of tools, methods, and processes that support scalable, reproducible analytics.
Requirements
- 7+ years of experience with web/mobile analytics reporting and analysis. Experience as a Marketing Data Analyst or similar role, with a focus on ecommerce and digital marketing analytics.
- Bachelor’s degree (or MBA) in Business Analytics, Data Analytics, Marketing, Mathematics, Statistics, or related quantitative field
- Outstanding analytical, critical thinking, and organizational skills with high attention to detail. Ability to focus on both strategy and execution.
- Deep understanding of marketing metrics, attribution models, and campaign performance measurement, with the ability to provide strategic recommendations.
- Experience in developing/maintaining analytics dashboards and developing/maintaining reporting tools for self-serve reporting.
- Passionate about customer-centricity and data-driven strategy, with the ability to effectively communicate and influence key stakeholders.
- Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations.
- Excellent written and verbal communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse stakeholders.
- Experience in defining metrics and KPIs, visualizing and presenting results, and tying insights back into business strategies and goals.
- Advanced SQL experience
- Expertise with web analytics tools, including Google Analytics (GA4 a plus), ContentSquare, Dynamic Yield, Similarweb, Semrush etc.
- Experience with CRM management tools, customer data platforms (Hightouch, etc.)
- Experience with data visualization tools (Tableau, Power BI, etc.)
- Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook)
- Curious, inquisitive, proactive, and interested in digging for insights in data, as well as learning new tools and techniques.
- A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact.
- Ability to work effectively in a fast-paced, team environment.
- Proficiency with more advanced statistical modeling techniques is a bonus (e.g. clustering, classification, segmentation, multiple regression, etc.).
Top Skills
What We Do
e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Celebrating the beauty of every eye, lip and face is fundamental to our DNA. It’s in our name and inspires us as a company. We are committed to creating a culture internally – and in the world around us – where all individuals are encouraged to express their truest selves, are empowered to succeed and where we do the right thing for people, the planet and animals. Our deep commitment to inclusive, accessible, cruelty-free beauty has fueled the success of the e.l.f. Cosmetics brand online and at retail since 2004. With the 2020 acquisition of the pioneering clean-beauty brand W3LL People, and the new lifestyle beauty brand Keys Soulcare created with Alicia Keys, we continue to strategically expand our portfolio with brands that support our purpose and values. Our brands are widely available online, and at leading beauty, mass-market, and natural specialty retailers.

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