Data Analyst – E-Commerce & Martech

3020662Local Candidates Only~ Applicants must be authorized to work for any employer in the U.S. We are unable to support or sponsor any U.S. immigration benefit (such as, but not limited to, H-1B, TN, STEM OPT) now or in the future.Summary:We are looking for a data-driven, business-minded Data Analyst to join our E-Commerce and Martech pod. This role is critical to helping the team understand the health of the business, prioritize what to build next, and measure the impact of what we ship. You will work closely with Product, Engineering, and Marketing to turn data into clear insights and actionable recommendations. This is not a passive reporting role—you are expected to proactively surface opportunities, identify gaps, and influence decisions across the pod.Duties and Responsibilities:Define & Monitor Business HealthEstablish and maintain a clear view of E-Commerce and Marketing performance, including:Conversion rates, funnel performance, and drop-offsCustomer acquisition and engagement metricsCampaign and journey effectivenessBuild dashboards and reporting that provide real-time visibility into business healthDrive Product & Feature InsightsPartner with Product and Engineering to:Identify what we should work on next based on dataAnalyze user behavior to uncover friction points and opportunitiesTranslate data into clear, prioritized recommendations, not just metricsMeasure Impact of Feature LaunchesDefine success metrics and tracking plans for new featuresAnalyze post-launch performance to answer:Did it move the needle?What worked and what didn’t?What should we iterate on next?Provide clear readouts to stakeholders and leadershipOwn Analytics Implementation QualityEnsure accurate tracking and instrumentation using:Google AnalyticsGoogle Tag ManagerPartner with engineers to validate data flows and event trackingIdentify and fix gaps in data collectionBuild & Evolve the Data StackCreate and maintain dashboards using tools like TableauEvaluate and propose new tools or frameworks to improve:Data accessibilityExperimentation capabilitiesInsight generation speedEnable a Data-Driven PodEmbed data into day-to-day decision-makingSupport sprint planning and prioritization with data insightsEducate stakeholders on how to interpret and use data effectivelyExperience:3–6 years of experience in data analytics, preferably in e-commerce, marketing, or digital product environmentsProven track record of influencing product or business decisions through dataTechnical SkillsStrong experience with:Google AnalyticsGoogle Tag ManagerTableauProficiency in SQL and working with structured datasetsUnderstanding of event-based tracking and digital analytics implementationAnalytical ThinkingAbility to move from data → insight → recommendationStrong problem-solving skills and attention to detailExperience analyzing funnels, A/B tests, and user behaviorBusiness & Product MindsetUnderstands how digital products and marketing efforts drive business outcomesComfortable working in a fast-paced, cross-functional podAble to prioritize work based on business impactProactive & InfluentialDoesn’t wait for requests—actively surfaces insights and opportunitiesCommunicates clearly with both technical and non-technical stakeholdersComfortable challenging assumptions with dataWhat Makes This Role DifferentFocus on decision-making and impact, not just reportingEmbedded within a pod (Product + Engineering + Marketing)Direct influence on what gets built and how success is measuredOwnership of both analytics quality and insight generationOpportunity to shape the data strategy and toolingHow We WorkPod-based model with high ownership and accountabilityData is a core input into prioritization and delivery decisionsClose collaboration across Product, Engineering, and MarketingContinuous improvement mindset with fast feedback loopsWhy Join ADT?High-impact role shaping E-Commerce and Martech performanceOpportunity to influence product strategy with dataWork on a modern digital stack with strong cross-functional exposureAbility to define and evolve how data is used across the organizationLos Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more. Los Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.