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Position: Senior Pricing Analyst, Global Strategic Pricing
Institution: Thermo Fisher Scientific
Location: Pittsburgh, Pennsylvania, United States
Duties: Retrieve, consolidate, analyze and summarize data from very large data sets using SQL; Provide analysis and technical support for pricing initiatives that include setting list prices, establish customer specific discounts and identify product conversion opportunities; Develop tools in SQL and excel to help businesses set strategic prices in the market, implement pricing improvement programs, and report financial impact; Identify, validate, and implement opportunities for sales performance improvements
Requirements: Excellent analytical capabilities including SQL, Excel and relational database skills. Experience with in-depth financial modeling as well as strong analytical and statistical problem solving skills, including data handling and programming skills Initiative to work on sophisticated data sets from multiple sources. SQL experience preferred, but not required Candidates must have a bachelor’s degree in a quantitative field (data science, engineering, mathematics, statistics)
   
Text: Senior Pricing Analyst, Global Strategic Pricing Retrieve, consolidate, analyze and summarize data from very large data sets using SQL; Provide analysis and technical support for pricing initiatives that include setting list prices, establish customer specific discounts and identify product conversion opportunities; Develop tools in SQL and excel to help businesses set strategic prices in the market, implement pricing improvement programs, and report financial impact; Identify, validate, and implement opportunities for sales performance improvements Excellent analytical capabilities including SQL, Excel and relational database skills. Experience with in-depth financial modeling as well as strong analytical and statistical problem solving skills, including data handling and programming skills Initiative to work on sophisticated data sets from multiple sources. SQL experience preferred, but not required Candidates must have a bachelor’s degree in a quantitative field (data science, engineering, mathematics, statistics)
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