ADM · 4 days ago
Manager - Pricing Analytics - Erlanger, KY
Erlanger, KY
Full-time
Onsite
Mid, Senior Level
$78K/yr - $146K/yr
5+ years expADM is a global leader in human and animal nutrition, committed to unlocking the power of nature to provide access to nutrition worldwide. The Manager – Pricing Analytics will develop pricing solutions, manage pricing data, and enhance analytics frameworks to support the pricing and commercial organization.
Animal FeedHospitalityIndustrial
Responsibilities
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)
Qualification
Required
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 DevOps)
Demonstrated strong analytical and problem solving skills
Experience with data visualization and data processing tools (e.g., PowerBI, 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
Self-starter with continuous improvement mindset
Ownership mentality
Preferred
Experience working with all major functions, like supply chain, procurement, product development, and finance to improve data accuracy and integrity
Familiarity with SAP a plus
Benefits
Physical wellness – medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).
Financial wellness – flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers’ compensation, legal assistance, identity theft protection.
Mental and social wellness – Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
Paid time off including paid holidays.
Adoption assistance and paid maternity and parental leave.
Tuition assistance.
Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.
Company
ADM
ADM unlocks the power of nature to enrich the quality of life.
10001+ employees
H1B Sponsorship
ADM has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (119)
2024 (135)
2023 (96)
2022 (109)
2021 (69)
2020 (68)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Monish Patolawala
Executive Vice President, Chief Financial Officer at ADM
Daniel Jones
Director, Technical Sales
Recent News
2025-12-16
Company data provided by crunchbase