Strategy Analyst - Search/CRO

About The Role

Our client, a two-sided dental supply marketplace, is looking for a Strategy Analyst, Search/CRO to join the Data and Analytics team and support the Marketplace Optimization team responsible for improving revenue growth across the marketplace. This role will partner closely with the Senior Product Manager, Marketplace Optimization, and cross-functional partners in Product, Engineering, Marketing, Merchandising, and Operations. The analyst will help identify, size, measure, and prioritize opportunities across Product Search, Product Recommendations, Buy Box, onsite data capture, conversion rate optimization, pricing, inventory, product availability, and marketplace supply/demand signals.

This is a hands-on analytics role for someone who can work across both the customer-facing website and the backend marketplace data that powers the experience. The analyst should be comfortable working with clickstream and onsite behavioral data, search terms, product availability, pricing and inventory tables, vendor/offer-level data, experiment results, and customer/order outcomes. The role is not limited to reporting. It is intended for someone who can help build the analytical foundation for marketplace optimization, support instrumentation and measurement decisions, diagnose conversion and revenue opportunities, and translate complex marketplace behavior into clear business recommendations.

Key Responsibilities

• Marketplace Optimization Analytics (20%): Partner with the Senior Product Manager, Marketplace Optimization to analyze and improve the marketplace experiences that influence conversion, revenue per visit, GMV, customer lifetime value, and repeat purchase behavior. This includes Search, Buy Box, PDP behavior, cart, checkout, reorder flows, and prioritization of opportunities based on impact, reach, complexity, measurement feasibility, and business risk.
• Onsite Data Capture, Web Analytics Measurement, and Visitor Identity (20%): Support the measurement foundation required to understand how customers interact with the marketplace. Partner on event taxonomy, tagging requirements, and tracking logic for PDPs, search results, recommendations, Buy Box, cart, checkout, and experiment exposure. Validate conversion definitions, sessionization logic, and visitor/user identity stitching across anonymous visitors, logged-in users, customers, devices, and orders.
• Buy Box, Pricing, Inventory, and Availability Analysis (20%): Analyze the data that determines what customers see, which offers are surfaced, and where conversion opportunities may be lost. Evaluate Buy Box behavior, offer selection, vendor visibility, pricing, availability, fulfillment speed, vendor trust signals, inventory, product coverage, backend pricing, and marketplace optimization logic.
• Demand and Supply Signal Analysis (20%): Use customer demand signals and marketplace supply signals to identify growth opportunities. Analyze search terms, zero-result searches, low-converting searches, product views, add-to-cart behavior, and purchase outcomes. Identify demand that is not converting because of availability, pricing, search relevance, recommendations, or offer quality.
• CRO, Experimentation, and Revenue Impact Analysis (20%): Support the Conversion Rate Optimization program and marketplace experimentation roadmap. Help define hypotheses, success metrics, guardrails, sample size requirements, and test duration. Analyze A/B and multivariate tests across Search, Recommendations, Buy Box, PDPs, cart, checkout, and other marketplace experiences. Tie results to conversion rate, revenue per visit, AOV, GMV, LTV, and repeat purchase behavior.

What Success Looks Like

• Acts as a thought partner to the Senior Product Manager, Marketplace Optimization
• Helps build the analytical foundation for onsite measurement, marketplace optimization, and CRO
• Strengthens web analytics instrumentation by helping define, validate, and improve onsite data capture, event tracking, visitor/user identity stitching, and measurement logic across key marketplace experiences
• Improves visibility into Search, Recommendations, Buy Box, PDP behavior, pricing, inventory, and product availability
• Connects customer demand signals to marketplace supply signals and revenue outcomes
• Identifies where the marketplace has demand but is losing conversion or revenue
• Supports stronger, faster, and more reliable A/B test readouts
• Prioritizes optimization opportunities based on expected impact and feasibility
• Communicates findings clearly to Product, Engineering, Marketing, Merchandising, Operations, and leadership
• Pushes back when tracking, sample size, data quality, or metric definitions do not support a strong conclusion

Required Qualifications

• 3–6+ years of experience in analytics, marketplace analytics, e-commerce analytics, growth analytics, digital analytics, product analytics, strategy analytics, or a similar role
• Strong SQL skills, including experience working with large event-level, transaction-level, product-level, customer-level, or marketplace datasets
• Experience analyzing e-commerce or marketplace behavior, including conversion funnels, product discovery, search, product availability, pricing, inventory, or offer-level performance
• Hands-on experience using web analytics, clickstream, product event, customer, and order data to diagnose business performance
• Familiarity with A/B testing, CRO, experiment analysis, or feature rollout measurement
• Ability to evaluate metric definitions, tracking logic, instrumentation quality, and data quality issues
• Strong problem-solving skills and comfort working through ambiguous analytical questions
• Ability to translate detailed analysis into clear business recommendations
• Ability to work cross-functionally with Product, Engineering, Data Engineering, Marketing, Merchandising, Operations, and Analytics
• Curiosity and practical experience using generative AI and agentic AI tools to accelerate coding, SQL development, analysis, documentation, and day-to-day productivity

Preferred Qualifications

• Experience with two-sided marketplaces, e-commerce marketplaces, retail marketplaces, B2B commerce, or digital commerce environments
• Experience analyzing Product Search, Recommendations, Buy Box, offer ranking, pricing, inventory, product availability, vendor performance, or merchandising performance
• Experience with clickstream or event data from tools such as GA4 BigQuery Export, Adobe Analytics Data Feeds, Snowplow, Segment, FullStory exports, or similar sources
• Experience with web analytics, behavioral analytics, experimentation, tag management, or customer data platform tools
• Experience with SQL, Snowflake, dbt, Sigma, Looker, Tableau, Mode, Python, or R
• Familiarity with statistical concepts used in experimentation, such as confidence intervals, sample size, statistical power, p-values, and practical significance
• Experience with search-as-a-service platforms such as Algolia or similar tools is a plus

Ideal Candidate Profile

The ideal candidate is highly analytical, commercially minded, and comfortable working across both customer behavior and marketplace operations. They can analyze how customers search, browse, compare offers, respond to availability and pricing, and ultimately convert or abandon. They do not stop at "conversion dropped." They dig into whether demand changed, supply was available, prices were competitive, the right offers were surfaced, Buy Box logic changed, search results met customer intent, tracking was reliable, and the evidence is strong enough to recommend action.