Senior Price & Data Analyst

ASSA ABLOY•Monroe, NC

1d•Onsite

About The Position

ASSA ABLOY Entrance Systems is a global manufacturer committed to creating safe, secure, and efficient entrance systems for people worldwide, specializing in automated pedestrian, industrial, and high-performance door solutions, operating in over 100 countries. The company offers an environment for growth, innovation, and meaningful contributions, with comprehensive benefits, opportunities for meaningful impact in industries like healthcare, transportation, and retail, and well-defined career paths with development programs. The Senior Price and Data Analyst role is responsible for developing, maintaining, and enhancing advanced pricing models to support strategic and operational pricing decisions across North American markets. Reporting directly to the VP of Service, this role is critical in driving profitable growth through data-driven price recommendations, especially for large and complex customer accounts involving multiple material, labor, and service cost components. The position requires strong analytical expertise, deep Excel modeling capability, and the ability to synthesize data from numerous internal and external sources into clear, actionable insights. The position is based in Monroe, North Carolina.

Requirements

Bachelor’s degree in Finance, Economics, Business Analytics, Engineering, or a related field
3-5+ years of experience in pricing, financial analysis, or data analytics, preferably in service-based, industrial, or B2B environments.
Advanced Excel expertise, including complex formulas, large-scale models, pivot tables, and data integration techniques.
Proven experience building pricing models that incorporate multiple material, labor, and cost drivers.
Strong understanding of margin analysis, cost accounting fundamentals, and service-based pricing structures

Nice To Haves

Experience supporting service organizations or service pricing models.
Familiarity with ERP systems (e.g., BAAN, Infor LN, Oracle, JD Edwards) and CRM/service management platforms.
Exposure to Power BI, Tableau, SQL, or similar reporting and data visualization tools.

Responsibilities

Develop, maintain, and continuously improve advanced pricing models incorporating: Material inputs and commodity-driven costs including tariff impacts for imported product into the US and Canadian markets; Direct and indirect labor components; Overhead, service delivery, and logistics costs; Geographic and market-specific variables across North America
Support service pricing strategy by evaluating margin performance, competitive positioning, and contract pricing structures.
Create scenario-based pricing analyses to support strategic initiatives, long-term agreements, and customer negotiations.
Monitor cost fluctuations related to materials, labor rates, freight, inflation indices, and other external drivers.
Quantify margin impacts and translate cost changes into clear pricing recommendations, including CPI-based escalators, surcharges, and targeted price actions.
Partner with the VP of Service and commercial leaders to ensure pricing actions align with service profitability and customer value objectives.
Build detailed pricing models for large, strategic accounts with complex service offerings and varied cost structures.
Analyze price-volume-mix impacts and customer-level profitability to support renewals, expansions, and renegotiations.
Provide analytical support for deal structuring, contract terms, and service-level pricing adjustments.
Build and maintain advanced Excel models leveraging data from: Internal systems (ERP, cost accounting, service management, CRM); External data sources (commodity indices, labor inflation data, market benchmarks)
Ensure data integrity, transparency of assumptions, and repeatability of pricing models.
Streamline and standardize pricing tools, templates, and recurring analytical processes.
Act as a pricing and analytics subject-matter expert supporting Service leadership, Sales, Finance, and Operations.
Translate complex pricing and cost data into executive-ready summaries, dashboards, and recommendations.
Identify opportunities to improve pricing governance, analytics maturity, and service margin performance.