Category & Pricing Analyst (Morgantown)

As innovators of premium baby gear with timeless style, Nuna is a Global Brand, growing exponentially in the US Market. Nuna’s corporate office is nestled in scenic Berks County, PA, within a mile of turnpike exit 298. Our quiet location promises the luxuries of a low-stress commute and a 360 view of nature.

Like our high-quality baby gear, our health and welfare benefits are superior, boasting an onsite state-of-the-art gym facility coupled with a $0 Copay / $0 Deductible Medical & Prescription Plan Design and a 401(k) with 6% Employer Match. Currently we are seeking a Category & Pricing Analyst to join our Product Management team. The Category & Pricing Analyst focus is pricing management, data integrity, competitive benchmarking and visual story telling of the data, playing a pivotal role in optimizing product profitability and supporting strategic business decisions.

ESSENENTIAL DUTIES & RESPONSIBILITES Pricing Strategy, Margin Protection & Governance Monitor and protect product and spare part margins through active pricing oversight. Support the development, implementation, and maintenance of pricing strategies, price lists, and discount structures. Evaluate and recommend pricing changes based on cost inputs, market conditions, and margin targets.

Execute margin analysis (“Margin Math”) including GP%, price increases/decreases, and profitability impact. Assess the financial impact of pricing changes, promotions, rebates, and customer‑specific pricing agreements. Support pricing for new product introductions, including margin analysis and market price positioning.

Ensure pricing governance, controls, and approval processes are followed. Maintain pricing data integrity across systems and reporting tools. Market, Category & Competitive Analysis Analyze pricing performance, margins, costs, and volume trends across assigned product categories.

Conduct competitive pricing and market analysis, including monitoring competitor pricing movements. Monitor market pricing and category‑level benchmarks to validate internal pricing strategies. Analyze product mix, lifecycle trends, and demand variability within durable goods categories.

Ensure product and spare part pricing remains market‑aligned, profitable, and logically merchandised within each product line. Syndicated Data & Market Intelligence (Circana) Leverage Circana (formerly NPD) tools to extract POS, market share, and category performance data. Analyze category trends, price sensitivity, and consumer behavior shifts.

Track “Rest of Market” performance to benchmark internal pricing and margin strategies against industry standards. Financial Analysis, Modeling & Forecasting Build pricing models, profitability analyses, forecasts, and scenario planning tools. Perform regular audits of pricing structures and margin performance.

Track and analyze key performance indicators (KPIs) including gross margin, price realization, mix, and profitability. Support budgeting, forecasting, and long‑range planning with data‑driven insights. Reporting, Visualization & Executive Decision Support Translate complex data sets into clear, actionable insights for senior leadership.

Develop dashboards, reports, and presentations using tools such as Excel and PowerPoint. Convert raw internal and syndicated data into compelling visual reports and executive‑level “snapshot” summaries. Highlight margin performance, risks, opportunities, and recommended pricing actions.

Provide executive‑ready materials that support high‑level commercial decision‑making. Cross‑Functional Partnership & Communication Partner with Category Management, Sales, Finance, Supply Chain, Marketing, and Global teams to support pricing and category strategies. Coordinate with Global partners to obtain pricing updates, costing inputs, and forward‑looking insights.

Communicate pricing, category, and financial insights clearly to both technical and non‑technical stakeholders. Ad Hoc Analysis & Continuous Improvement Respond to ad hoc analytical requests from business leaders. Support continuous improvement of pricing processes, tools, and analytical methodologies.

This position description is intended to provide a summary of the essential duties, tasks, and responsibilities of this position and shall not be considered an exhaustive listing of all work requirements. Other duties may be assigned. REQUIREMENTS & QUALIFICATIONS Experience & Education Five (5) to eight (8) of experience in pricing, category management, financial analysis, or commercial analytics.

Demonstrated experience owning pricing decisions across product portfolios within a durable goods or complex SKU environment, balancing cost volatility, competitive dynamics, and gross margin objectives while supporting commercial and financial targets. Hands‑on background assessing category health using a combination of internal performance data and external market benchmarks, with the ability to identify structural gaps in pricing, assortment, and mix relative to the broader market. Proven track record leveraging syndicated data platforms (e.g., Circana/NPD) to extract actionable insights on price elasticity, share shifts, consumer behavior, and “rest of market” dynamics to inform pricing and category decisions.

Experience developing robust financial models that quantify trade‑offs between price, volume, mix, and margin—enabling leadership to understand risk, upside, and downstream profitability impacts under multiple scenarios. Demonstrated ability to distill complex pricing and financial analyses into concise, leadership‑ready narratives, visuals, and recommendations that influence decision making across commercial, finance, and senior leadership teams. Experience in a durable goods, manufacturing, industrial, or consumer products environment strongly preferred.

Bachelor’s degree in Business, Finance, Economics, Supply Chain, Analytics, or a related field required. Skills & Competencies Commercial Judgment & Financial Literacy – Applies sound business reasoning, demonstrates strong understanding of margin drivers, cost structures, and economic trade-offs to balance profitability, competitiveness, and risk. Quantitative & Analytical Thinking – Uses numbers confidently and breaks down complex problems into logical components to inform decisions and evaluate scenarios, impacts, and alternatives.

Market Awareness – Maintains an external orientation to industry dynamics, pricing norms, and competitive signals. Data Fluency & Insight Synthesis – Easily interprets large, multi-source datasets, understands their limitations, and connects disparate data points into coherent, decision-relevant conclusions. Strategic Perspective – Understands how individual analyses support broader category and business objectives.

Executive Discernment – Knows what matters most to senior leaders and prioritizes signal over noise. Visual Communication – Conveys complex ideas clearly through structured, visual storytelling. Influence Without Authority – Shapes outcomes through credibility, logic, and clarity rather than formal control.

Cross‑Functional Effectiveness – Works productively across functions with differing priorities and incentives. Adaptability & Continuous Improvement Mindset – Responds effectively to ambiguity, shifting inputs, and evolving business needs, while seeking better tools, methods, and approaches to improve decision quality over time. Technology Proficient in ERP System; SAP preferred Data Visualization Tools; PowerBI preferred.

Syndicated Data & Analytics Software; Circana required. Microsoft Office 365 Suite, with advanced Excel skills including: Pivot Tables, Lookup functions, advanced formulas & filters. Familiar with Project management software, Wrike preferred Ability to quickly and proficiently learn new software with ease.

Other As business needs warrant: Ability to work extended hours may, on occasion, include nights and weekends. Domestic travel, less than 10%. Applicants must be currently authorized to work in the United States on a full-time basis.