Pricing Analyst
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeAnalyst specializing in Commercial Analytics & Pricing
Thermo Fisher Scientific Inc. leads the science industry, generating over $42 billion in annual revenue. Our goal is to help customers improve global health, environmental cleanliness, and safety. We assist with life sciences research, analytical problem-solving, diagnostics, therapies, and laboratory efficiency. Our diverse team of 120,000 colleagues provides cutting-edge technologies, easy purchasing, and pharmaceutical services under renowned brands like Thermo Scientific, Applied Biosystems, and Fisher Scientific. Thermo Fisher Scientific values' diversity in its workforce. Visit for more details.
Position Summary:
In the Analytical Instrument Group (AIG), the Commercial Analytics & Pricing Analyst is responsible for enhancing commercial analytics and pricing capabilities by developing sophisticated analytics tools and dashboards to provide valuable business insights for the AIG commercial teams. The role requires technical expertise, experience with large data sets, and effective communication skills for collaborating with partners across many different functions.
Key Responsibilities:
- Collaborate with Division Commercial and Finance teams to develop data analytics, models, and dashboards to derive insights, track commercial performances, and assess funnel health.
- Harness data analytics/science tools (e.g., gene.ai) to empower commercial teams in identifying new leads, cross-selling opportunities, and market trend shifts.
- Translate business challenges and opportunities into quantitative analyses to uncover actionable patterns and insights.
- Provide expertise in price setting, discount adjustments, and promotion design, ensuring thoughtful tradeoffs between price and volume to drive share gain and volume uptick.
- Deliver regular pricing reports and implement tools to guide business partners in making informed decisions, while analyzing market trends, opportunities, and risks.
- Lead business reviews emphasizing pricing insights and strategies, ensuring efficient market positioning and potential improvements.
- Ensure data quality and readiness, handling tasks like data clean-up, integration, transformation, and validation.
- Craft use cases, develop mock-ups, and refine tools based on iterative business feedback. Lead all aspects of user acceptance testing (UAT), tool demos, and training sessions.
Minimum Requirements/Qualifications:
- BS or MS Degree in Math, Statistics, Computer Science, Data Science, or a related field.
- Excellent analytical and problem-solving skills, with experience in building data models.
- Proficiency in Excel, SQL, and Power BI.
- Strong presentation skills and the ability to articulate sophisticated data models and business problems.
- Ability to work across a matrix organizational structure and effectively influence business partners.
- Self-motivated, able to drive actions to completion with intensity and ownership.
- Enthusiastic about diving into business and data analytics/science.
- Ability to travel (~10%).
Benefits: Our compensation package includes competitive salaries, an annual incentive bonus plan, 401K with a contribution from the company, tuition reimbursement, and various other employee benefits!
Be part of a team dedicated to promoting a healthier, cleaner, and safer world for our customers. With a common set of values, we collaborate to accelerate research, solve scientific challenges, innovate technologically, and aid patients.
EEO Statement: Thermo Fisher Scientific Inc. values inclusivity in its recruitment processes, ensuring that every eligible candidate is evaluated without bias based on race, color, religion, sex, national origin, disability status, protected veteran status, or any other legally protected category. Thermo Fisher Scientific Inc. upholds its pledge to offer reasonable accommodations to individuals with disabilities. If you have a disability and require assistance or accommodations, please contact us at 855-471-2255.
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