Remote, Massachusetts, USA
8 days ago
Financial Analyst III, Business Intelligence and Analytics

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

COMPANY:                            Thermo Fisher Scientific Inc.

LOCATION:                            168 Third Avenue, Waltham, MA 02451

TITLE:                                    Financial Analyst III, Business Intelligence and Analytics

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

DUTIES:                                 •           Lead the analytical arm of the Division Finance function to elevate and evolve from static reporting to value-added, forward-looking business insights
•           Drive data fidelity and best-in-class operational efficiency via a single source of truth dashboard;
•           Navigate complex data warehouses on the back end to provide leadership with intuitive and clear management reporting and insight generation tools
•           Collaborate with Business Unit and Functional teams to create scalable, incisive financial models, dashboards, and KPIs that highlight revenue trends and variances using advanced data visualization techniques (e.g., customer/product/region, custom/catalog analytics, manufacturing site), thoughtfully implementing BI tools for strategic business insights
•           Maintain and improve molecule intelligence model to enable enhanced analytics and effective framing of financial results and outlook for the consolidated BCD business; develop cohesive, executive-level narratives to explain business performance across the P&L and frame long-term performance
•           Build a close, supportive business partnership with the BCD leadership & product management teams to improve forecast accuracy and analytical capabilities
•           Liaise with Division and BU teams (Finance and business) to ensure reporting accuracy, standardization, alignment, and best practice sharing across a matrix organization.
•           Provide variance explanations and organic growth walks for BCD as required for MBR/QBR, AOP, and STRAP
•           Explore new/alternate data sources to continuously improve data, processes, and analytics, including inventory & Operations data and Commercial opportunity information from Salesforce.com
•           Mentor team of Financial Analyst(s)
•           Implement and lead a process that ensures stack-ranked prioritization of Division and BU initiatives
•           Ensure timely and accurate reporting to the Business Unit, Division, and Corporate
•           Provide ad hoc reporting and analytics on as needed basis
•           Participate in PPI process for function, driving continuous improvement in high visibility areas
Travel: Up to 10% domestic and international travel required. Can work remotely or telecommute.                                                                                                                                   

REQUIREMENTS:                  MINIMUM Education Requirement: Master’s degree in Business Analytics, Finance, or related field of study.
MINIMUM Experience Requirement:  4 years of relevant experience in Operations Analysis, Business Intelligence, or related occupations/experience.
Alternative Education and Experience Requirement:  Bachelor’s degree in Business Analytics, Finance, or related field of study plus 6 years of relevant experience in Operations Analysis, Business Intelligence, or related occupations/experience.  

Required knowledge or experience with:
•           Data visualization and analytical tools (Microsoft Power BI super user, Tableau, R, Alteryx, and Excel-based dashboards);
•           Technical ability to effectively navigate interplay between all financial systems (E1, INFOR A+, SAP, SPoT, Hyperion Planning, and HFM/CMR);
•           SQL and DAX
•           AWS Athena
•           Salesforce (SFDC) and related customer relationship management tools
•           Databricks and associated generative AI platforms
•           Translate data and metrics into predictable, value-added business models; and
•           Formulating and driving continuous process improvements (Kaizen, PPI)

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