Description
Analyze and optimize e-commerce performance across web, app, and marketplace channels. Use data, testing, and forecasting to improve traffic, conversion, pricing, assortment, and profitability; build dashboards and models; ensure data quality and compliance; and partner with marketing, merchandising, product, and operations.
- • Track industry forums and webinars to stay current on e-commerce analytics, tools, and privacy trends.
- • Audit product media performance (photos, video) and recommend optimizations for conversion.
- • Forecast demand and recommend purchasing and inventory targets.
- • Monitor fulfillment KPIs (stockouts, backorders, ship times) and flag issues.
- • Analyze omnichannel performance and recommend online-to-offline integration strategies.
- • Conduct pricing and elasticity analysis; recommend price changes and promotions.
- • Define and document metric definitions, policies, and methodologies for transparency.
- • Analyze transactional and lifecycle email performance and deliverability.
- • Build and automate order, revenue, and margin reporting pipelines.
- • Maintain customer analytics datasets; manage data quality and identity resolution.
- • Measure the impact of offline promotions on online traffic and sales.
- • Partner with SEO/SEM teams to measure and optimize ROAS and conversion.
- • Analyze order cancellations and returns to identify drivers and reduce losses.
- • Track digital product delivery success and customer experience metrics.
- • Evaluate and recommend analytics, tag management, A/B testing, and BI tools.
- • Measure social and community traffic impact on engagement and sales.
- • Analyze order-to-delivery cycle times and bottlenecks.
- • Measure and analyze website and app behavior to improve conversion and UX.
- • Conduct competitive and marketplace research to identify assortment opportunities.
- • Perform market and product viability analyses using internal and external data.
- • Evaluate marketplace and auction channel performance and listing strategies.
- • Partner with security and legal to ensure data privacy, consent, and compliance.
- • Assess domain and URL structure impacts on SEO, tracking, and attribution.
- • Build business cases and forecasts for e-commerce initiatives.
- • Optimize product placement, categories, and search ranking through data analysis.
- • Run A/B and multivariate tests with UX to improve storefront UI and flows.
- • Analyze customer feedback and support tickets to surface friction points.
- • Test and analyze the impact of product content (images, video, copy) on sales.
- • Model pricing, tax, shipping, and margin scenarios to guide decisions.
- • Monitor payment authorization rates, declines, chargebacks, and fraud indicators.
- • Use SEO and CRO insights to optimize PDP metadata and on-page elements.
- • Recommend assortment changes based on sales velocity, profitability, and demand.
- • Provide data-driven guidance to improve product descriptions and attributes.
- • Produce dashboards and insights on sales, revenue, CAC, LTV, and profitability.
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Management & Entrepreneurship
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O*NET occupational data (work activities, skills, knowledge).
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
