Product Analyst, NMDP Donor and Graft Sourcing

NMDP•Minneapolis, MN

4d•$80,000 - $100,000

About The Position

The Product Analyst assists the NMDP Donor and Graft Sourcing product teams make data-informed, market-aware, user-centered, and financially grounded decisions across cellular therapy, service, software, and platform products. Embedded in the Product organization, this role partners with Product Managers, Product Owners, UX, Operations, Technology, Analytics, Finance, Commercial, and other cross-functional stakeholders to clarify needs, assess opportunities, inform product decisions and measure outcomes that improve product performance and advance mission impact. The Product Analyst brings a product mindset: translating ambiguity into clear options, evaluating customer needs, market opportunity, operational feasibility, financial implications, current-state processes, and product or platform capability fit, and turning evidence into recommendations that improve customer experience, operational effectiveness, financial performance, and measurable business value. This role supports product work from discovery and opportunity assessment through product development, requirements and backlog readiness, launch readiness, adoption measurement, and ongoing optimization. Product Analysts are expected to bring strong product thinking, analytical judgment, customer orientation, and evidence-based recommendation development. This role is ideal for an analyst who wants to use product thinking, data, market insight, and operational understanding to improve products that support the organization’s mission to save lives through cellular therapy.

Requirements

Product analytics, performance measurement, outcome-based measurement, benefit realization, and product-level metrics used to assess adoption, value, financial performance, and product health.
Market analysis, competitive assessment, product positioning, product economics, revenue growth, business case development, investment trade-off evaluation, and prioritization methods used across the product lifecycle.
Product discovery, customer and stakeholder research synthesis, journey mapping, service or process analysis, problem framing, opportunity assessment, and product development across cellular therapy, service, software, and platform products.
Business process redesign, fit-gap analysis, future-state workflow development, service model evaluation, and translating current-state complexity into simplified product, service, or platform recommendations.
Agile and product delivery practices, including product requirements, work definition, user stories, acceptance criteria, backlog refinement, validation, testing, and product review cadences where applicable.
Modern analytics, visualization, collaboration, prototyping, and AI-assisted tools used to accelerate analysis, synthesis, scenario modeling, and product decision-making.
Apply advanced analytical thinking to synthesize complex, incomplete, or conflicting information into clear options, recommendations, assumptions, and practical next steps.
Think strategically by connecting data, customer insights, market signals, process findings, and product performance to organizational goals, product strategy, financial outcomes, customer value, and long-term product health.
Communicate clearly and concisely, translating analytical findings, process insights, financial considerations, and product or platform trade-offs for technical, non-technical, product, operational, commercial, and leadership audiences.
Collaborate, facilitate, influence, and challenge diplomatically across Product, UX, Technology, Architecture, Operations, Analytics, Finance, Commercial, Change Management, and leadership stakeholders.
Influence practical product artifacts such as process flows, journey maps, service models, product requirements, decision records, wireframes, dashboards, user stories, acceptance criteria inputs, test scenarios, experiments, and insight narratives.
Assess when needs are addressed through process change, service model change, product iteration, configuration, out-of-the-box platform capability, or specialized design, architecture, or custom development support.
Use AI responsibly to accelerate research, synthesis, insight generation, scenario modeling, backlog analysis, forecasting, and design exploration while validating outputs for quality, accuracy, bias, privacy, and appropriate use.
Bachelor's degree in analytics, business, economics, information systems, technology, healthcare administration, or a related field, or equivalent professional experience.
3+ years of experience in product analysis, product analytics, business analysis, functional analysis, decision support, or a related role translating data, processes, customer needs, and market insights into product recommendations.
Experience working in or alongside a product-oriented organization, roadmap decisions, solution design, outcome measurement, product lifecycle decisions, or portfolio/product-line analysis.
Experience supporting product strategy, product development, market analysis, financial analysis, business case development, revenue growth, go-to-market planning, or product performance measurement across product types such as cellular therapy, service, software, or platform products.
Experience contributing to product requirements, discovery sessions, journey or process flows, acceptance criteria inputs, testing, adoption measurement, or product performance insights in partnership with product teams in matrixed environments.

Nice To Haves

Experience with Salesforce, Salesforce Health Cloud, CRM, healthcare technology, or similar platforms, including the ability to assess standard capabilities, configuration options, reporting, workflow support, and platform limitations.
Experience supporting large-scale platform transformation, modernization, CRM, digital product, healthcare technology, or enterprise workflow initiatives.
Experience creating practical discovery or alignment artifacts when dedicated UX/UI resources are unavailable, including workflows, wireframes, screen concepts, prototypes, or testable process models.
Experience with product analytics, business intelligence, collaboration, mapping, backlog, or prototyping tools such as Power BI, Tableau, Looker, Pendo, Mixpanel, Amplitude, Excel, SQL, Miro, Lucidchart, Figma, Jira, Azure DevOps, Confluence, or equivalent tools.
Experience with artificial intelligence within research, aggregation, customer feedback synthesis, scenario modeling, forecasting, prototyping, and recommendation development.
Experience mentoring analysts, establishing analytical best practices, improving measurement standards, or leading complex cross-functional analyses.
Relevant certifications such as Salesforce Business Analyst, Salesforce Administrator, Platform App Builder, CBAP, CSPO, SAFe, or related credentials are a plus.

Responsibilities

Partner with Product Managers, Product Owners, UX, Operations, Technology, and other stakeholders to clarify business objectives, customer problems, user needs, operational pain points, desired outcomes, and market opportunities.
Analyze customer and stakeholder feedback, journey data, operational data, service interactions, utilization patterns, market signals, and business processes to identify growth opportunities, risks, unmet needs, and whitespace for product development.
Translate broad or ambiguous business questions into structured hypotheses, assumptions, risks, decision points, analytical approaches, and practical measurement options.
Conduct opportunity sizing, impact assessment, and value analysis to inform product strategy, roadmap trade-offs, prioritization decisions, and product-line investment discussions.
Partner with Product, Finance, Commercial, Operations, Analytics, and Technology partners to evaluate product performance, demand signals, revenue growth opportunities, and product implications.
Translate market, financial, operational, and performance insights into recommendations that inform product strategy, product development, roadmap priorities, go-to-market planning, lifecycle decisions, financial analysis, and trade-off decisions.
Support product foresight by monitoring emerging customer needs, industry trends, regulatory considerations, technology shifts, competitive dynamics, and evolving product opportunities.
Analyze current-state processes, service interactions, workflows, and product or platform capabilities to identify inefficiencies, bottlenecks, compliance considerations, manual workarounds, experience gaps, and simplification opportunities.
Develop future-state recommendations that balance customer and user needs, business outcomes, operational realities, product strategy, service model considerations, fit-gap analysis and available platform capabilities.
Evaluate needs against product, process, service, and platform capabilities to determine where workflow changes, configuration, product iteration, or custom development are appropriate.
Translate discovery insights, process analysis, customer needs, market and financial considerations, and product capability decisions into product requirements, design inputs, decision records, go-to-market inputs, acceptance criteria inputs, functional notes, test scenarios, or backlog-ready inputs, as appropriate for the product type.
Develop artifacts as required for the product development need, such as. workflows, journey maps, service models, product requirements, dashboards, user stories, acceptance criteria inputs, and insights summaries—to support discovery, stakeholder alignment, product design, user feedback, delivery readiness, and decision-making.
Support trade-off discussions, testing, and validation by framing value, feasibility, risk, user impact, operational impact, compliance considerations, dependencies, acceptance criteria, test scenarios, and measures of successful delivery.
Partner with Product, Customer Experience Activation, Marketing, Operations, Training, Change Management, Finance, and Analytics partners to align launch plans, product adoption strategies, customer needs, feedback loops, revenue assumptions, and performance measures.
Track adoption, utilization, revenue performance, customer feedback, workflow outcomes, benefit realization, operational performance, and product health after launch.
Translate product performance data and feedback into insight narratives, learning agendas, and recommendations for next-best actions and continuous improvement.
Support leading product analyses that influence roadmap prioritization, portfolio discussions, product-line decisions, lifecycle optimization, and investment trade-offs.
Stay current on relevant product, analytics, AI, platform, and industry capabilities; proactively identify how emerging practices, tools, or platform innovations can improve outcomes or accelerate value.
Evaluate AI-generated insights, recommendations, summaries, or design concepts for accuracy, relevance, bias, privacy, and appropriate use.