Pricing Analyst III

Thermo Fisher Scientific • Hillsboro, OR

414d

About The Position

The Pricing Analyst III at Thermo Fisher Scientific plays a crucial role in the Finance/Insurance division, focusing on data analytics to drive impactful decisions and strategies. This position involves collaborating with commercial and finance teams to develop models and dashboards, providing insights into pricing strategies, and ensuring data quality for informed decision-making.

Requirements

• Bachelor's degree or equivalent experience required.
• 1-3 years of work experience in data analytics, digital enablement, 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 complex 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.
• Passionate about learning business and data analytics/science.

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.
• Leverage data analytics/science tools 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.

Benefits

• Inclusive work environment
• Career growth opportunities
• Engagement in meaningful projects

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree