Senior Analyst - Pricing Analytics - Erlanger, KY

Job Description 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 strategyexpertise 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 managementability 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 field2-4 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 Dev Ops)
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…