**Work Schedule**
Other
**Environmental Conditions**
Office
When you join us at Thermo Fisher Scientific, you'll be part of a hard-working, driven team that shares your passion for exploration and discovery. With revenues of $39 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.
If you are passionate about how the intersection of data science, analytics, and data visualization come together to tell a story and drive decision-making within a world-leading life science company, then this is the role for you! You are inquisitive by nature, and tend to always ask the "why" in every situation. Your curious demeanor fuels your insatiable appetite for learning and you have a fascination for data analytics and data story-telling within a large, complex organization. You also need to be a critical thinker with the ability to work with imperfect data and continuously test/learn.
**Key Responsibilities**:
- Be able to 'tell a story' using advanced analytics and data visualization techniques
- Derive data driven insights in close partnership with Finance, Operations, Commercial, and Data Science teams to expose opportunities for revenue and cost optimization
- Leverage visualization tools such as Power BI and SAS Visual Analytics to perform interactive data exploration that help businesses and senior leaders understand impact of seen opportunities
- Support the maintenance and development of the centralized reporting environment
- Develop reporting solutions that set a higher standard in terms of analytical insight and user experience
**Requirements/Qualifications**:
- Bachelor's degree in Finance, Mathematics, Computer Science, Data Science, Applied Statistics, or a related field, Master's preferred
- 1-2 years' experience building dashboards and reporting solutions with PowerBI
- Experience analyzing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization
- Ability to problem solve and scale solutions
- Excel and SQL experience required
- Understanding of data lakes and relational databases preferred
- Experience in data visualization tools (Power BI, Tableau, SAS Analytics) is required
- Experience/awareness of DAX, Python, MDX is an advantage
- Experience with Azure Analysis Services or SQL Server Analysis Services preferred
- Highly numerate, with the ability to analyze, model and interpret data
- A passion for accuracy with high levels of attention to detail
- A focus on delivering a quality product to specification and within agreed timelines
- Interpersonal skills: exceptional verbal/written communication, listening and presentation skills
- Proven track record of achieving desired results without direct report authority
- Minimal travel required