About this role
Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
About Our ClientsOur client is a fast-growing U.S.-based DTC ecommerce company in the wellness and beauty space, operating at the intersection of performance marketing, profitability, and data-driven decision making. They are building a modern analytics foundation to support smarter growth across marketing, finance, and operations.
They are looking for a Senior Data Analyst who can operate as a strategic analytical partner — someone who can independently investigate business problems, influence marketing investment decisions, and uncover actionable insights that directly impact revenue, contribution margin, and growth efficiency.
You will work closely with leadership and collaborate across Growth, Finance, and Operations teams in a highly analytical and fast-moving environment. This role follows European/Israel working hours.
ResponsibilitiesAnalyze revenue, contribution margin, CAC, LTV, refund behavior, and acquisition efficiency across channels and geographiesPartner closely with Growth and Paid Media teams to evaluate channel performance and budget allocationBuild cohort analyses, funnel analyses, attribution logic, and performance monitoring frameworksIdentify revenue leakage, operational inefficiencies, and growth opportunities through deep analysisTranslate complex datasets into clear business recommendations for leadershipBuild scalable reporting and KPI frameworks on top of a modern warehouse environmentSupport forecasting, anomaly detection, experimentation analysis, and decision support initiativesCollaborate with Data Engineering to improve data quality, modeling, and infrastructureLeverage AI-powered workflows and tooling to accelerate analytics, SQL development, documentation, and operational efficiencyRequirements
5+ years of hands-on experience in Marketing Analytics, Growth Analytics, Product Analytics, or Performance AnalyticsStrong experience supporting ecommerce, DTC, B2C, or consumer-focused businessesAdvanced SQL proficiency, including joins, window functions, cohort logic, attribution analysis, and large dataset queryingExperience working directly with warehouse-based analytics environments such as BigQuery, Snowflake, Redshift, or similarExperience with BI and visualization platforms such as Looker, Tableau, or Looker StudioStrong understanding of ecommerce unit economics, including CAC, ROAS, MER, LTV, payback periods, contribution margin, and funnel performanceExperience partnering with Paid Media, Growth, or Marketing teams on performance analysis and optimizationDemonstrated ownership of analytical initiatives with measurable business impactComfortable operating independently in ambiguous, fast-paced environmentsPractical experience using AI tools such as ChatGPT, Claude, Cursor, Copilot, or similar within analytics workflowsStrong written and verbal English communication skillsBenefits
Fully remote opportunityOpen to candidates based in EuropeCompetitive compensation and benefit based on experience