With 12,000 global employees across 5 continents, the Pharmaceutical Service Group (PSG) offers world-class expertise to help customers of all sizes get high-quality medicines to patients faster.
What you'll do
As the Commercial Data Analyst, you will play an integral role in supporting the PSG Commercial leadership team. You will be the expert on Commercial data (e.g. Client, Molecule, Proposal) within Salesforce.com, as well as ensuring data accuracy and the ability to link data to other Commercial systems (Changepoint, SAP and Smartsheets). You will partner closely with the Data Steward team, IT and other Commercial & Business Systems owners to understand data and analytics-related requirements, as well as data enhancements and governance.
Process, cleanse and validate Data used for analytics
Use your expertise to automate & streamline processes
Manage Data integrations from acquisitions, other Thermo Fisher divisions and 3rd party sources
Create and monitor Data dashboards to perpetual manage quality & completeness of Data
Partner with Commercial leaders, IT and Commercial Finance on Data strategies and roadmap
Subject Matter Expert for Commercial Data
Implement changes, additions and enhancements related to Commercial Data
Use external data sources to cross-reference internal identifiers
How you'll get here
Minimum 3 years of previous Data Management and Analysis experience
Bachelors degree preferred in related subject: Mathematics, Data Science, Statistics, IT (or equivalent work experience & knowledge), Associates degree required at minimum.
Prefer previous Pharma/Biotech experience
Proven ability to participate with stakeholders across the organization and contribute to complex projects in a global matrix reporting structure
Creative problem-solving skills
Comfortable working with ambiguity and new concepts; able to easily move between strategic discussions and tactical topics/execution
Technical acumen: Experience using Salesforce.com, MS Excel and relational databases (SQL, SAP) and reporting tools
Flexible attitude for changing priorities
Ability to work at speed and prioritize effectively
Ability to listen and interpret business requirements
Ability to extract and manipulate large datasets quickly and accurately to deadlines