Analyst, Commercial Analytics and Pricing

Key Skills

Aartificial intelligence, Business Intelligence, Data Analytics, Data science techniques, Effective communication skills, Finance, Generative AI, Leadership Skill, PowerBI, Presentation skills, Pricing analytics, Python Programming, SQL, Teamwork

Job Description

The Analyst, Commercial Analytics & Pricing role plays a pivotal role within the Analytical Instrument Group (AIG), focusing on improving commercial analytics and pricing capabilities for AIG. The role's responsibilities encompass the development of sophisticated analytics, tools, and dashboards crafted to furnish informative business intelligence, facilitating informed decision-making processes for the AIG commercial teams. The ideal candidate will provide a blend of robust technical competence and hands-on experience with large data sets, complemented by excellent communication and teamwork aptitudes, enabling effective interactions with diverse teams. This role presents an outstanding opportunity for aspirational talents to deepen their grasp of data science, business intelligence, and the intricacies of commercial management in a highly transparent setting.

Key Responsibilities:

• Collaborate with Division Commercial and Finance teams to develop data analytics, models, and dashboards to derive insights, monitor commercial performances, and assess funnel health.
• Leverage 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.
• Collaborate with business partners and D&T teams to establish robust data pipelines catering to diverse analytics needs, and further a data-driven decision-making culture.
• 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 finance, business, math, statistics, computer science, data science or related
• Minimum 1-3 years of work experience in data analytics, business intelligence, finance, commercial analytics, or related field
• Strong analytical and problem-solving skills, and experience of building data models
• Proficiency in Excel; prior experience in SQL, Python, or Power BI is strongly preferred.
• Strong presentation skills and ability to articulate complex data models and business problems
• Ability to work across a matrix org structure and influence business partners
• Self-motivated, able to drive actions to completion with intensity and ownership
• Passionate about learning business and data
• Ability to travel (10%)

Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 120,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve sophisticated scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.

Apply today! http://jobs.thermofisher.com

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