Job DescriptionSenior Manager - Pricing Analytics - Any ADM US office Erlanger, KY, Kennesaw, GA, Chicago, IL, Minneapolis, MN
Position SummaryThe Senior 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, Databricks, Azure Synapse)
- ability to drive effective support of data analysis and model management
- ability to communicate technical concepts to a non-technical audience
- experience with IT project management practices
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
- Translate complex business problems into concise analysis that help drive actions
- 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
- 8+ years of experience performing data analytics, machine learning, and predictive modeling initiatives
- 3+ yr people management experience
- Demonstrated strong analytical and problem solving skills
- Experience with data visualization and data processing tools (e.g., PowerBI, Python/R, SQL, Databricks)
- Experience implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and accurate usage, etc.) based on the business case
- 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.
REF:104341BR
Benefits and Perks Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:
- 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).
Additional benefits include:
- 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.
*Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position is expected to be between:
