Associate Director, Digital Insights & Analytics

United States·New YorkFull Timeexecutive

Data ScienceOtherAnalyticsData & AI

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Overview

About the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.

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Data ScienceOtherAnalyticsData & AI

About the Company

e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time.

In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.

Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us

Position Summary:

e.l.f. Beauty is looking for a digital insights rockstar to join our dynamic, fast-paced, high-growth company. The ideal candidate will have a strong background in data analytics, digital marketing, and ecommerce performance, with a consumer first mindset. This person is highly self-motivated, curious, and strategic yet detail-oriented, with a passion for analyzing data, surfacing insights, and storytelling with data to drive business decisions. This person also has the technical skills associated with querying large data sets and extracting and synthesizing data and insights from disparate data sources and analytics tools. The position will report directly to the Assistant Vice President, Market & Business Insights.

The Associate Director, Digital Insights & Analytics will build rigorous measurement frameworks and deeply analyze the digital consumer by institutionalizing standardized journey, behavior, and campaign performance models that optimize our online experience and drive conversions. The role will drive predictive analytics to propose high-impact audience targeting strategies for segmentation and personalization—including propensity modeling, next-best-action, and lifetime value frameworks—to enhance acquisition, retention, and conversion outcomes. This role will be responsible for the aggregating and sharing of digital learnings across brands across paid, owned, and CRM channels, and will translate complex analyses into concise, visually compelling executive-ready decks, dashboards, and story-driven narratives that clearly articulate the “so what,” escalate recommended actions with owners and timelines, and enforce cross-functional accountability through a continuous test–learn–scale cadence that reduces friction, improves incrementality, and aligns teams to north-star metrics for sustainable, profitable growth. The position requires strong partnerships and excellent communication with E-commerce, CRM, IMC, Creative, and Technology business leaders and cross-functional partners, as well as external vendors.

This position can be based in any of our e.l.f. offices (NYC, Oakland, CA or LA) within the US.

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.

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.).