Job Details

Senior Manager, E-Commerce Analytics

Are you insatiably curious? Do you want to be part of an amazing team empowering consumers to improve their health? Are you passionate about driving actionable insights and results for your business partners? Do you have the expertise to deliver high-performing e-commerce analytics, dashboards, and reports? If yes – and you have the track record to back it up – read on! The Senior Manager, E-Commerce Analytics is a commercially-minded analytics role, responsible for delivery of insights to grow the business. This person sees data as a means to improve business results, not just report them. They will partner closely with peers and leadership across Site Merchandising, Marketing, Digital Product and the broader questhealth.com team to advance data-driven decision-making and accelerate the growth of Quest's consumer e-commerce business. This person works autonomously, earns trust quickly across stakeholder groups, and is as comfortable discussing needs with and presenting to senior leaders as they are in a data model.

Responsibilities

This position is responsible for partnering with stakeholders to develop a suite of tools/dashboards to allow self-service insights, providing expert insight into Quest Diagnostic's e-commerce business, measuring and analyzing product, campaign, traffic/funnel, and channel performance, and providing a diverse set of stakeholders with regular reporting on business and marketing trends. This position will report to the Director of E-Commerce Analytics and will work daily with Site Merchandising, Marketing, Digital Product, and other cross-functional teams.

Key responsibilities:

• Drive e-commerce performance reporting across website traffic, conversion, and revenue – providing regular and ad-hoc analysis that directly informs commercial priorities
• Act as the analytical partner to both the Site Merchandising/Commercial team and the Marketing team, understanding each team's goals and proactively surfacing the insights that move them forward
• Build and maintain dashboards and reports that are genuinely used – not just built and forgotten – ensuring stakeholders have what they need to make fast, confident decisions with minimal additional analysis required in most use cases
• Analyse customer acquisition, retention, and buying behaviour to identify revenue growth opportunities across the full funnel
• Partner with Marketing to monitor and evaluate marketing channel performance (paid search, social, SEO, email, affiliate, etc) with a commercial lens – not just traffic metrics
• Partner with Site Merchandising to deliver and evolve category and merchandising analysis using internal data and market research tools to support range, pricing, and promotional decisions
• Manage tag management and data layer integrity (TealiumIQ), partnering with Digital Product, Merchandising, and agency teams as needed to ensure clean, complete data collection for all relevant business and technical questions relating to features and buyer behaviour. Ensure this data is then appropriately and compliantly sent on to relevant analytics tools
• Working directly with stakeholder teams, support the identification and documentation of A/B and multivariate testing opportunities to improve conversion rate, average order value/revenue per visitor, and other measurable commercial and customer-experience metrics to be funneled into A/B testing program [ks1]
• Identify and communicate trends, insight, forecasts, and plans with recommendations to management team.
• Provide ongoing analysis of customer demographics and buying behavior.
• Communicate findings clearly to senior stakeholders – with a point of view, rather than just outputs

Success in this role will be measured by business impact rather than reports produced, and will be across three main dimensions:

1. Providing regular, meaningful, insights across actionable key metrics and spaces to commercial teams that drive business results, including regularly adapting these based on business changes and identifying trends within the results;
2. Developing dashboards and other tools to support the ability of stakeholders across key business areas to self-service meaningful insights and drive business change;
3. Completing analysis to answer prioritized business questions and provide insights relevant to commercial performance and drive decisions as directed.

Qualifications

Required Work Experience:

• 5+ years previous e-commerce analytics experience using Google Analytics or equivalent (GA4, Adobe Analytics, Mixpanel, etc.), ideally within a DTC brand, consumer health/wellness, or supporting other high-growth retail business(es)
• 3+ years previous hands-on experience using TealiumiQ or equivalent tag management tool (Adobe Launch, Adobe DTM, or Google Tag Manager)
• Proven track record of commercial impact – you can point to decisions you influenced and the results that followed across Key Performance Indicators (KPIs) including Revenue, Conversion Rate, GM$, Revenue per Visitor
• Strong data visualization skills (Tableau, PowerBI, Looker, Looker Studio)
• SQL proficiency using Snowflake, BigQuery, Redshift, or similar
• Advanced Excel skills; comfortable working with large, imperfect, and incomplete datasets across multiple sources
• Well-developed quantitative skills and analytical thinking
• Ability to deal with ambiguity and a changing environment
• Proven ability to work in a team-oriented environment, remote experience ideal
• Self-directed with strong prioritization skills; thrives without constant direction from above but by working with peers to determine impact and relative importants
• Ability to meet concurrent, rigorous deadlines in a fast-paced environment

Preferred Work Experience:

• Experience with behavioral analytics tools (e.g. Mouseflow, ContentSquare, FullStory, HotJar, etc)
• Experience with a Customer Data Platform (Teailum AudienceStream or equivalent)
• Certification in e-commerce analytics tools (Google Analytics 4, Adobe Analytics, or Mixpanel), data visualization tools (Tableau / PowerBI / Looker / Looker Studio) and/or tag management tools (Tealium / Google Tag Manager / Adobe Launch)
• Advanced SQL and use of database query tools (Snowflake, Google BigQuery, dBeaver, Redshift, Alteryx)
• Experience with statistical Analysis software / programming languages like SAS, R, or Python
• Comfortable with JavaScript, CSS, jQuery
• Familiarity with A/B and Multivariate Testing tools (Adobe Target, Optimizely, Google Optimize, VWO, Monetate)
• Previous experience with another consumer healthcare, diagnostics, or other regulated consumer products company
• Experience using AI tools (chat, IDE, CLI, MCP) in analytics to drive e-commerce performance

Physical and Mental Requirements:

• Team-oriented with the ability to work well with diverse, cross-functional teams in a remote, matrixed organization
• Capable of working autonomously in a fast-paced, high-growth environment
• Can self-prioritize tasks, multi-task, and context switch as needed
• Must be comfortable with a deadline-driven environment
• Ability to follow verbal or written instructions, asking questions and gathering additional information as relevant
• Excellent communicator – able to tailor insights to different audiences, from trading teams to senior leadership
• Able to work in the details but keep the overall business value and ask in mind; ensuring meaningful insights and trends are drawn from analysis
• Able to adjust to change and shifting priorities as business needs evolve
• Sitting for long periods at a time