Senior Analyst - Pricing Analytics - Erlanger, KY Position Summary The Senior Analyst – 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. 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, Databricks, Azure Synapse) • 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, PowerBI 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) data and reporting across businesses to enable consistency and quality control of key business data • Write optimized code improving efficiency, scalability, and stability Requirements for this position include: • Bachelor’s Degree in Business Analytics, Statistics, Computer Science, Physics, or related field • 2-4 years of experience performing data analytics, machine learning, and predictive modeling initiatives • 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 DevOps) • Demonstrated strong analytical and problem solving skills • Experience with data visualization and data processing tools (e.g., PowerBI, Python/R, SQL, Databricks) • Experience implementing Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and accurate usage, etc.) based on the business caseand 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 working with all major functions, like supply chain, procurement, product development, and finance to improve data accuracy and integrity preferred • Self-starter with continuous improvement mindset • Ownership mentality • Familiarity with Enterprise ERP systems (SAP, IBM, Oracle, etc) a plus Before applying for an exempt, non-exempt or hourly job opportunity, you are expected to initiate a discussion and share your intentions with your supervisor. * If you’ve been in your current position for more than 18 months, supervisor approval is not required. * If you’ve been in your current position for less than 18 months, verbal supervisor approval is required. ​Hiring Manager- Megan Schuler ​ Recruiter- Amy Schroeder