Homeoffice Manager, Commercial Analytics & Pricing en Thermo Fisher Scientific Inc.

Work Schedule

Environmental Conditions

Job Description

COMPANY:                            Thermo Fisher Scientific Inc.

LOCATION:                            168 Third Avenue, Waltham, MA 02451

TITLE:                                    Manager, Commercial Analytics & Pricing

HOURS:                                  Monday to Friday, 8:00 am to 5:00 pm

DUTIES:                                 Build dashboards and reports to measure key trends and commercial performances, enabling commercial leaders to quickly diagnose funnel health and commercial execution;
Develop analytics, tools, and dashboards to empower business insights and improve decision making for AIG commercial teams; 
Work with large data sets to solve practical business problems and produce insights for commercial and BU teams enabling them to assess opportunities, risks and take action;
Create predictive modeling to improve forecast accuracy to better inform commercial strategy resource deployment, and, supply and demand planning;
Design data analytics and science models and tools to empower commercial teams to identify new leads, cross-selling opportunities, market trend shifts;
Drive digital transformation across AIG commercial finance organization;
Responsible for data clean-up, integration, transformation, and validation;
Collaborate with IT and D&T teams to build robust, efficient, and reliable data pipelines for various data analytics needs. Up to 5% percent domestic and international travel required. Can work remotely or telecommute.       

REQUIREMENTS:                  MINIMUM Education Requirement: Bachelor’s degree in Analytics, Information Technology, Statistics, Finance, or a related field of study.
MINIMUM Experience Requirement:  5 years of experience in data analytics, financial analysis, pricing, commercial analytics, or related experience.  Alternative Education and Experience Requirement:  Master’s degree in Analytics, Information Technology, Statistics, Finance, or a related field of study plus 2 years of experience in data analytics, financial analysis, pricing, commercial analytics, or related experience.  Required knowledge or experience with: SQL; Python; PowerBI; Tableau; Salesforce.

Salary: $161803 to $186000 per year