Manager - Pricing Analytics - Erlanger, KY

Job Description Manager - Pricing Analytics – Erlanger, KY Position Summary

The Manager – Pricing Analytics is a key member of the pricing analytics team, developing pricing solutions and supporting day to day activities of the broader pricing and commercial organization. The responsibilities include pricing data management, developing/enhancing analytics frameworks and visualizations that enable data driven business decisions, and supporting a high performing team of analysts/senior analysts.

• commercial minded approach understanding market economics, customer and product value in alignment with go-to-market pricing strategy
• expertise in analytics and data science techniques
• technical knowledge of platforms and software technology (Python/R, SQL Server)
• ability to drive effective support of data analysis and model management
• ability to translate communicate technical concepts to a non-technical audience
• experience with IT project management practices

The position is located in Erlanger, KY (Cincinnati, OH metro area).

• Design, develop, and maintain analytics products, ensuring high quality inputs and outputs that help commercial teams with day to day pricing and long term strategic planning
• Build reusable data sets and analytics that enable rapid decision making for commercial leaders
• Review and validate data sets and analyses across team to ensure data and assumptions are aligned with evolving market conditions
• Collaborate across the broader Nutrition organization to unlock data and analytics efficiencies and build a cohesive view of our platforms
• Act as the voice of the pricing customer, detailing requirements and building pricing solutions that bring measurable value to key stakeholders
• Design, develop and maintain analytics products, Power
  
  BI visualizations, and dynamic ad-hoc frameworks that help commercial teams with day to day pricing and long term strategic planning
• Manage pricing performance discipline through continuous KPI monitoring and active coaching
• Develop processes, guard rails, and routines to drive value for various businesses
• Challenge existing assumptions in pricing methodologies to drive impactful change
• Coach business leaders and managers in leveraging machine learning models for pricing
• Develop insightful visualizations to communicate key insights to both technical and non-technical leadership
• Translate complex business problems into concise analysis that help drive actions
• Partner closely with commercial, sales, finance and IT to implement and improve pricing tools
• Build machine learning models to generate insights from past customer activity
• Develop unit tests and integrity tests to ensure data and model accuracy
• Coordinate data updates with appropriate departments (e.g., marketing, sales, finance, and operations)

• Bachelor’s Degree in Business Analytics, Statistics, Computer Science, Physics, or related field
• 5+ years of experience performing data analytics, machine learning, and predictive modeling initiatives
• 1+ yr people management experience
• Experience with applying data science methods to pricing and commercial business problems using the full suite of Azure tools (Azure ML, Azure Pipelines and Azure Dev Ops)
• Demonstrated strong analytical and problem solving skills
• Experience with data visualization and data processing tools (e.g., Power
  
  BI, Python/R)
• Experience implementing Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and accurate usage, etc.) based on the business case and experience with applications
• Experience with supervised and unsupervised machine learning algorithms (clustering, decision tree learning, etc.)
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and accurate usage, etc.) and experience with applications
• Demonstrate strong analytical and problem solving skills
• Ability to communicate, influence and build trust across multiple stakeholder groups
• Proven experience managing multiple priorities with competing deadlines
• Experience…