Senior Client Analytics Partner - ecommerce, Retail & CPG

Senior Client Analytics Partner - ecommerce, Retail & CPG

Canada;
United States

Stack Adapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose Stack Adapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.

Senior Client Analytics Partner - ecommerce, Retail & CPG plays a critical role in shaping how our ecommerce clients use data to optimize performance across channels. This role goes beyond reporting — it’s about helping clients build sophisticated measurement frameworks, uncover customer journey insights, and translate ecommerce KPIs into clear business outcomes. As a senior member of the team, you’ll also mentor others, contribute to best practices, and represent Stack Adapt in thought leadership opportunities.

You will report to the Director, Client Analytics Partner.

Stack Adapt is a Remote First company, and we are open to candidates located anywhere in the US or Canada for this position.

What you’ll be doing:

• Partner with retail, CPG & ecomm clients to design measurement strategies that link media performance to business outcomes such as ROAS, CPA, lifetime value, and funnel efficiency.
• Leverage platform measurement solutions, in‑house reporting solutions, and advanced analytics tools to surface trends, make recommendations to optimize media investment.
• Inform go‑to‑market strategies specific to eCommerce measurement solutions.
• Translate complex datasets, including product performance, conversion funnels, attribution, and audience segmentation, into actionable insights and strategic recommendations.
• Lead senior‑level client‑facing deliverables and measurement discussions, ensuring stakeholders understand both the “what” and the “why” behind performance.
• Guide clients through test‑and‑learn roadmaps tailored for ecommerce, including experiments on promotions, audience strategies, product launches, and seasonal campaigns.
• Assess how on‑site experiences such as personalization, UX design, and conversion optimization influence paid media performance — and provide recommendations on how media and site optimization strategies can work in tandem to improve business outcomes.
• Mentor and coach junior analytics partners, elevating the team’s capability in ecommerce analytics and storytelling with data.
• Collaborate with cross‑functional teams (Account Management, Sales, Product, Marketing, Data Science) to refine tools, reporting templates, and best practices specific to ecommerce.
• Contribute to industry thought leadership through case studies, white papers, or client workshops that highlight Stack Adapt’s ecommerce analytics expertise.

What you’ll bring to the table:

• 5 to 7 years of experience in analytics, with at least 3 years focused on ecommerce reporting and performance measurement.
• Strong command of ecommerce metrics (conversion rate, ROAS, CAC, AOV, LTV, cart abandonment, product/category performance) and the tools that support them (Google Analytics 4, Shopify, Big Commerce, Adobe Analytics, closed loop measurement etc.).
• Solid understanding of programmatic advertising and how it ties into ecommerce strategies across channels.
• Understanding of site optimization principles (UX testing, personalization, conversion flow) and their impact on paid media efficiency and performance.
• Familiarity with marketing technology ecosystems and integrations (e.g., CDPs, tag management, data pipelines) to ensure seamless connections between media, site analytics, and business outcomes.
• Proven experience translating complex datasets into narratives that influence senior stakeholders and drive business outcomes.
• Experience designing and executing test‑and‑learn roadmaps, including A/B tests, incrementality studies, and attribution modeling for ecommerce.
• Experience integrating into MMM studies, interpreting results, and aligning fast moving metrics to long‑term, slower…