Digital Product Analyst DCOE

Role overview

Responsibilities

• Facilitate discovery workshops, gather requirements, map processes, and document customer journeys.
• Analyze product performance, customer behavior, funnel progression, and trends to identify insights, risks, and opportunities.
• Translate findings into recommendations tied to customer value, product KPIs, and business outcomes.
• Write user stories, epics, and testable acceptance criteria aligned with intended outcomes.
• Support prioritization with value assessments, tradeoff analysis, and ROI inputs; align insights with roadmap and backlog planning.
• Participate in Agile ceremonies and lead sessions when appropriate; maintain work boards, analytics dashboards, and reports.
• Support user acceptance validation and testing by defining scenarios, checking outcomes against requirements, and documenting results.
• Maintain product, process, and business documentation; coordinate delivery across Product, Engineering, UX, Data, business teams, and external partners.
• Identify process inefficiencies and data blind spots, and recommend improvements to product quality, delivery, and insight maturity.

Required education and experience

• A bachelor’s degree or equivalent years of experience in lieu of a degree is required.
• At least two years of experience in a Product Analyst, Business Analyst, Operations Excellence, or similar role is required.
• Experience supporting analytics-driven digital products, platforms, or customer-facing experiences is required.

Required skills and experience

• Requires independent data analysis and the ability to turn insights into clear product and business recommendations.
• Requires quantitative and qualitative analysis, synthesis of complex datasets, and identification of trends, patterns, and risks.
• Requires understanding of digital product development, Agile delivery, and iterative lifecycle models.
• Requires data storytelling using narratives and visuals, plus strong written and verbal communication.
• Requires collaboration with technical and non-technical stakeholders and experience with analytics, visualization, and experimentation platforms.
• Familiarity with basic measurement strategy and tagging principles is also listed.

Location and working conditions

• The position is remote with no regular on-site requirement; travel to a site is limited to special events.
• The job details list Dearborn, Michigan as the location.

About Carhartt