> Markdown version of [/jobs/ext/1246750-temporary-senior-ecommerce-insights-analyst-pdx-la](https://www.wearedevelopers.com/jobs/ext/1246750-temporary-senior-ecommerce-insights-analyst-pdx-la). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TEMPORARY SENIOR ECOMMERCE INSIGHTS ANALYST - PDX/LA - **Company:** Dr Martens - **Location:** Portland, OR, United States - **Experience:** Expert - **Salary:** $99,840.0 - $116,480.0 - **Contract:** Temporary contract - **Skills:** Agile Methodology, Artificial Intelligence, Customer Data Management, Data Presentation, Google Analytics, Network Connections, Power BI, Web Analytics - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a20591b18a8a514a ## About the Role This cross-functional role requires strong relationships, ecommerce expertise, and commercial curiosity. You connect insights across ecommerce, paid marketing, and customer experience to create a unified view of business performance., * 5+ years of experience in eCommerce analytics, digital analytics, or a similar insight-focused role, preferably in retail or DTC e-commerce. * Fluency in Google Analytics 4 (GA4) - ability to build explorations, segment audiences, diagnose data quality issues, and interpret behavioural data across the customer funnel. * Strong proficiency in Power BI - ability to work within existing data models, create ad hoc analyses, and interpret dashboard outputs. Ability to build visualisations is valued, though long-term dashboard development will sit with the global tech team. * Experience with Supermetrics or similar data connectors for pulling and consolidating multi-channel marketing data. * Experience with Customer Data Platforms (e.g., Amperity, Segment, or similar) - ability to query, pull insights, and interpret customer-level data. * Exceptional analytical storytelling - ability to synthesise complex data into clear, actionable narratives for non-technical stakeholders. This is the #1 skill for this role. * Commercial curiosity - genuine interest in understanding what drives eCommerce performance and the ability to connect data across marketing, merchandising, site, and customer domains. * Strong cross-functional collaboration skills - ability to build trust and productive working relationships quickly across diverse teams. * Comfort with ambiguity - ability to take loosely defined business questions and structure them into clear analytical approaches. * Thrives under pressure - comfortable with the pace and intensity of peak selling periods, able to deliver sharp analysis on tight timelines. * Positive attitude, goal-oriented, and agile. Connection with the Dr. Martens brand and values. * Strong understanding of how AI can be applied responsibly within ecommerce analytics, including using AI-enabled tools to surface trends, accelerate analysis, strengthen data storytelling, and improve decision-making without compromising accuracy or context. * Ability to work at a standard computer set up 40+ hours per week, with or without accommodations. ## Description * Own the digital trade insight narrative for the US and Canada DTC business - from daily reads during peak selling periods to weekly trade analysis, quarterly deep dives, and seasonal and annual reviews - going beyond topline KPIs to explain the drivers behind performance. * Identify and communicate key trends, anomalies, and opportunities in clear, stakeholder-ready formats that support decision-making across the business, adjusting depth and turnaround based on business cadence and urgency. * Support ad hoc strategic questions from leadership and cross-functional partners, turning ambiguous business questions into structured analyses with clear recommendations. * Contribute market-level insights to forecasting conversations, focused on revenue, sessions, average transaction value, and the metrics that influence them. Site & Funnel Performance Insights * Analyse the full Americas digital customer conversion funnel - from session acquisition through to purchase - identifying drop-off points, friction areas, and optimisation opportunities. * Deliver insights on page performance, product performance on-site, and behavioural and demographic metrics to inform site strategy and merchandising decisions. * Partner with the global tech team to define requirements for site analytics dashboards, ensuring the Americas market's analytical needs are reflected in shared tools and reporting. Campaign Performance Insights * Analyse and interpret performance across digital marketing channels (paid search, paid social, display/video, email, SMS, affiliate) to surface actionable insights for channel owners. * Provide post-campaign analysis and insight narratives that go beyond reporting to explain what worked, what didn't, and what should be done differently for the Americas market. * Champion Americas data by partnering with performance marketing and channel teams on measurement approaches and test design to continuously improve how we evaluate campaign effectiveness. Customer & Product Insights * Deliver Americas digital customer-level insights including acquisition, retention, repurchase behaviour, and demographic/geographic patterns to inform marketing and merchandising strategy. * Analyse ecommerce product performance across categories, silhouettes, and price points to identify trends, inform assortment decisions, and support sell-through strategies. * Partner with the global customer intelligence team on customer-specific requests, providing Americas market-level insights that inform broader customer growth strategies. Customer Data Platform (CDP) - Americas Stakeholder * Serve as the Americas market-level stakeholder for the Customer Data Platform, ensuring regional analytical needs are represented on the platform roadmap. * Pull and interpret market-level insights from the CDP to inform business decisions - customer segments, lifecycle patterns, and campaign effectiveness. * Partner with the global customer team, which owns overall CDP strategy, segmentation, and campaign activation. Cross-Functional Collaboration & Data Connectivity * Build and maintain strong working relationships across finance, merchandising, site teams, performance marketing, customer experience, customer service, retail, and customer retention to connect data and insights across the business. * Work with channel owners to gather Americas insights from their tools and synthesise them into a full-funnel view of business performance. * Act as a translation layer between business teams and data - turning loosely defined business questions into structured, trustworthy analyses., * You'll be a proud custodian to our DM's culture, embodying what we stand for and encouraging others to do the same * You'll help build a highly engaged team - ensuring a collaborative culture and providing guidance & support to other team members * You will take ownership for your own development, proactively seeking out feedback to build self-awareness * You will bring the outside-in; you'll share best practice across the team/business and encourage ideas sharing as well as collaborative problem solving * You'll lead the way and role model on all things DE&I & wellbeing ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Employee Advocacy: The Secret Weapon of Employer Branding](https://www.wearedevelopers.com/videos/1304-employee-advocacy-the-secret-weapon-of-employer-branding) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Deployed ML models need your feedback too](https://www.wearedevelopers.com/videos/161-deployed-ml-models-need-your-feedback-too) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [E-Commerce in the Agentic Age: When "Buy" Becomes a Function Call](https://www.wearedevelopers.com/magazine/750-e-commerce-in-the-agentic-age-when-buy-becomes-a-function-call) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)