Thoroughly understands UL Solutions or similar, databases, systems, and tools, and can freely pull-out data needed for requested analysis and reports. Understands supported industries and their needs to conduct quantitative and qualitative pricing analysis in high quality or ad-hoc. Is familiar with all kinds of basic pricing analysis and can conduct accurate and independent analysis in a timely matter. Provides management or industry leads with quality pricing data, analysis, trends, risks, and... more details
Thoroughly understands UL Solutions or similar, databases, systems, and tools, and can freely pull-out data needed for requested analysis and reports.
Understands supported industries and their needs to conduct quantitative and qualitative pricing analysis in high quality or ad-hoc.
Is familiar with all kinds of basic pricing analysis and can conduct accurate and independent analysis in a timely matter.
Provides management or industry leads with quality pricing data, analysis, trends, risks, and opportunities, and acts as the expert for the supported industries.
Performs and supports pricing such as KPI analysis, elasticity analysis, value-drive analysis, profitability analysis, regression analysis, auditing analysis, and competitive analysis.
Provides and generates pricing reports, industry trend reports and market analysis, global account reports, ad-hoc reports, and other on-going reporting activities.
Provides pricing tool testing, development, and maintenance.
Collaborates with teams across all UL business units globally.
Craft compelling reports and analyses on pricing dynamics, delving into the impact of price adjustments on sales volumes and revenue streams.
Dive into regional and customer-specific analyses, exploring Price/Volume/Mix, Discounting and Realization analytics, Sales/Order trends, and customized ad hoc investigations.
Evaluate market and competitor data to strategically align our pricing strategies with the market landscape.
Create measurement tools to detect market trends and embed logic into analytics, empowering robust decision-making.
University degree in business, finance, or a related discipline plus generally three to five years of directly related work experience.
Experience with regression modeling, price elasticity, and price vs volume analysis.
Partnering with the business to understand and interpret future analytics.
Previous involvement in constructing pricing models or analyzing promotional programs is a plus.
A detail-oriented, customer-centric innovator with a keen eye for business acumen.
Strong communicator with a knack for problem-solving and project management.
Flexible and adept at multitasking and prioritizing during peak periods.
Proficient in Salesforce.com or similar CPQ tools, along with an advanced skill set in Microsoft Excel (vlookups, pivot tables, sum ifs, etc.).
Familiarity with Microsoft BI or other data visualization tools (Tableau, etc.).
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