Web Analytics Lead

Kforce has a client that is seeking a Web Analytics Lead in San Francisco, CA. Responsibilities:

• Partner with Product and UX teams to define success metrics for new features and digital experiences
• Design, evaluate, and interpret website experiments across the customer journey
• Recommend appropriate measurement approaches when randomized A/B testing is not possible
• Identify customer friction and prioritize opportunities across homepage, search, product pages, cart, checkout, and other digital experiences
• Quantify the impact of product investments and support roadmap prioritization
• Apply advanced experimentation, incrementality, and causal measurement methodologies to evaluate business impact
• Use approaches such as matched control groups, quasi-experimental design, difference-in-differences, synthetic controls, cohort analysis, time-series intervention analysis, and driver decomposition where appropriate
• Develop measurement frameworks for initiatives where traditional test-and-control methods are not feasible
• Separate correlation from causation and clearly communicate analytical limitations and confidence levels
• Determine the most appropriate methodology based on the business question rather than defaulting to standard reporting
• Analyze raw clickstream and event-level data using SQL to uncover customer behavior patterns and business opportunities
• Reconstruct and evaluate customer journeys across sessions, devices, channels, and digital experiences
• Identify behavioral signals associated with conversion, retention, engagement, and customer value
• Evaluate the impact of pricing, promotions, merchandising, assortment, inventory availability, and product experience on customer behavior and business outcomes
• Diagnose revenue and conversion changes across product categories, customer segments, devices, channels, and journey stages
• 7+ years of experience in Product Analytics, Ecommerce Analytics, Decision Science, Advanced Analytics, or a related field
• Strong retail ecommerce experience and a deep understanding of digital customer journeys
• Advanced SQL skills with experience analyzing large-scale clickstream or event-level datasets
• Experience designing, evaluating, and interpreting website experiments
• Experience with Adobe Analytics, Customer Journey Analytics, or a comparable digital analytics platform
• Experience translating complex analysis into clear business recommendations
• Strong understanding of statistical analysis, experimentation, incrementality, and causal measurement
• Strong communication, stakeholder management, and executive presentation skills
• Ability to independently frame ambiguous business questions and develop rigorous analytical approaches

• Experience with Python or R for analysis
• Experience with Snowflake, Databricks, BigQuery, or similar analytical data platforms
• Familiarity with advanced measurement methodologies such as synthetic controls, matched markets, difference-in-differences, propensity-based matching, or time-series intervention analysis
• Experience with retail merchandising, pricing, promotions, assortment, inventory, or margin analytics
• Experience working with large-scale customer journey and clickstream datasets
• Experience supporting personalization, recommendations, search, or digital product optimization
• Familiarity with variance-reduction methods and advanced experimentation techniques