Manager - Pricing Analytics - Erlanger, KY

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Manager - Pricing Analytics - Erlanger, KY  ####

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** 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.

** The ideal candidate will have:
*** 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)    
** Responsibilities for this position include:
*** 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)
** Requirements for this position include:
*** 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…