Senior Analyst, E-commerce Optimization & Insights

David Yurman•New York, NY

4d•$120,000 - $140,000•Hybrid

About The Position

David Yurman is seeking a hands-on Senior Analyst to drive optimization, analytics, and actionable insights across the eCommerce business. This role will partner closely with the E-commerce team to identify opportunities, diagnose performance trends, improve the customer journey, and translate data into clear recommendations that drive conversion, revenue, margin, retention, and customer value. The individual will own experimentation strategy and execution across key eCommerce and digital experience surfaces, including onsite experience, merchandising, conversion funnel, personalization, and customer journey optimization. Responsibilities include building strong measurement frameworks and dashboards, designing rigorous tests, analyzing performance, and ensuring insights lead to meaningful business action. The Senior Analyst will collaborate with E-commerce, Product, UX, Technology, CRM, Performance Marketing, and Data Engineering to ensure business questions are clearly defined, data is properly instrumented, tests are statistically sound, and insights are communicated effectively to drive decisions. While CRM, Email, and lifecycle program ownership remains with the CRM team, this role will support cross-functional measurement where those programs intersect with eCommerce behavior, personalization, and customer journey outcomes.

Requirements

Minimum 4 years of experience in analytics, digital optimization, experimentation, growth, marketing measurement, or related fields.
Strong SQL skills in Snowflake, BigQuery, Redshift, or similar.
Comfortable working with behavioral, transactional, customer, and marketing datasets.
Experience turning ambiguous business questions into structured analyses, clear insights, and actionable recommendations.
Strong knowledge of experimentation and measurement fundamentals, including A/B testing, holdouts, incrementality, power, bias, and confounders.
Comfortable owning projects end-to-end in a fast-moving, cross-functional stakeholder environment.
Experience with onsite testing and personalization platforms such as Optimizely, Adobe Target, AB Tasty, Dynamic Yield, or similar.
Experience with web analytics tools such as GA4, Adobe Analytics, Looker, Sigma, Tableau, or similar.
Experience partnering directly with E-commerce, Product, UX, CRM, Performance Marketing, or Data Engineering teams.

Nice To Haves

Luxury retail and eCommerce experience preferred.

Responsibilities

Partner closely with the E-commerce team to monitor business performance, identify opportunities, and recommend actions across the site experience.
Analyze funnel performance across Homepage, PLP, PDP, cart, checkout, promotions, search, merchandising, and personalization.
Diagnose changes in traffic, conversion rate, AOV, revenue per visit, product performance, customer behavior, and margin.
Build recurring insights that help the business understand what is driving performance and where optimization efforts should be focused.
Translate analysis into clear, practical recommendations for merchandising, UX, content, promotions, and customer journey improvements.
Own end-to-end experimentation from hypothesis development to design, launch, QA, analysis, readout, recommendation, and follow-through.
Build and maintain an experimentation intake and prioritization process, including impact, effort, confidence, dependencies, and business value.
Define best practices for sample sizing, power, holdouts, incrementality, multivariate testing, test duration, and test interpretation.
Maintain a roadmap of active, upcoming, and completed tests across onsite, CRM, Email, Paid Media, and other digital channels.
Ensure test learnings are documented and incorporated into future site, marketing, and customer experience decisions.
Support onsite and UX optimization across merchandising, Homepage, PDP, PLP, checkout, promotions, and personalization.
Partner with Product, UX, Technology, and E-commerce to define clear KPIs and measurement plans for new features, site changes, and customer experience improvements.
Ensure proper event tracking, attribution alignment, and KPI definition, including conversion rate, AOV, revenue per visit, engagement, margin, and customer value.
Identify friction points and opportunities using behavioral, transactional, and customer-level data.
Evaluate personalization performance, product recommendations, content relevance, audience targeting, and downstream customer behavior.
Partner with E-commerce, Product, UX, CRM, and Technology teams to prioritize and develop personalization initiatives.
Identify opportunities to improve product discovery, content relevance, segmentation, and customer experience through advanced personalization.
Create standardized readouts and insight summaries that are easy for non-technical stakeholders to understand and act on.
Build dashboards and recurring reporting that surface key trends, opportunities, risks, and test outcomes.
Maintain a knowledge base of insights, tests, and recommendations so learnings compound over time.
Communicate results clearly to cross-functional partners and senior stakeholders, with a focus on actionability and business impact.