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 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

Excited about this role but don’t think you meet every requirement listed?

We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.

ADM requires the successful completion of a background check.

REF:113284BR