Digital Product Analyst DCOE

Carhartt•Dearborn, MI

2d•Remote

About The Position

The Digital Product Analyst is an impactful individual contributor who partners with Product Managers, Product Owners, and cross‑functional teams to drive data‑informed product decisions and improve delivery effectiveness across the product lifecycle. This role focuses on creating clarity through rigorous analysis, well‑defined requirements, and actionable insights that connect product performance, customer behavior, and business outcomes. Serving as a critical link between data, product strategy, and delivery, the Digital Product Analyst independently analyzes product performance, identifies opportunities and risks, and translates insights into clear recommendations that inform roadmap prioritization, feature design, and continuous improvement. Through strong analytical thinking, documentation discipline, and cross‑functional collaboration, this role ensures teams deliver the right work at the right time—maximizing customer value and business impact. Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission—We serve and protect all hardworking people by building durable products—we remain dedicated to upholding these principles in every decision we make and every product we create.

Requirements

A minimum of 2 years of experience in Product Analyst, Business Analyst, Operations Excellence or similar role.
Experience supporting analytics‑driven digital products, platforms, or customer‑facing experiences.
Proven ability to independently analyze data and translate insights into clear product and business recommendations.
Strong quantitative and qualitative analysis skills, including the ability to identify trends, patterns, and risks.
Ability to synthesize complex datasets into concise insights, narratives, and decision‑ready recommendations.
Solid understanding of digital product development, Agile delivery, and iterative lifecycle models.
Effective data‑storytelling skills, using clear narratives and visuals to support product and delivery decisions.
Excellent written and verbal communication skills, with the ability to collaborate with both technical and non‑technical stakeholders.
Experience using analytics, visualization, and experimentation platforms; familiarity with basic measurement strategy and tagging principles.

Responsibilities

Facilitate discovery workshops to gather requirements, map processes, and document customer journeys in support of product delivery.
Analyze product performance, customer behavior, funnel progression, and trends to identify insights, risks, and opportunities.
Translate analytical findings into clear, actionable recommendations tied to customer value, product KPIs, and defined business outcomes.
Write high‑quality user stories, epics, and acceptance criteria; ensure requirements are testable, measurable, and aligned to intended outcomes.
Support prioritization decisions by contributing data‑backed value assessments, tradeoff analysis, and ROI inputs.
Partner with Product Managers and Product Owners to align analytical insights with roadmap planning and backlog sequencing.
Participate actively in agile ceremonies and lead sessions when appropriate.
Maintain accurate, up‑to‑date delivery artifacts—including work boards, analytics dashboards, and reports—to support transparency and informed decision‑making.
Support User Acceptance Validation (UAV/UAT) by defining test scenarios, validating outcomes against requirements, and documenting results and insights.
Develop and maintain product, process, and business documentation that enables consistent execution and scalable operations.
Coordinate cross‑functional work across Product, Engineering, UX, Data, Business teams, and external partners to support delivery momentum.
Identify process gaps, inefficiencies, or data blind spots and proactively recommend improvements to enhance product quality, delivery velocity, and insight maturity.