Senior Analyst - Pricing Analytics - Erlanger, KY

Archer Daniels Midland•Erlanger, KY
•Onsite

About The Position

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: a 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 and communicate technical concepts to a non-technical audience, and experience with IT project management practices. The position is located in Erlanger, KY (Cincinnati, OH metro area).

Requirements

  • 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)
  • 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.)
  • 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

Nice To Haves

  • Experience working with all major functions, like supply chain, procurement, product development, and finance to improve data accuracy and integrity
  • Familiarity with Enterprise ERP systems (SAP, IBM, Oracle, etc)

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)
  • Data and reporting across businesses to enable consistency and quality control of key business data
  • Write optimized code improving efficiency, scalability, and stability

Benefits

  • competitive pay
  • medical/Rx, dental, vision
  • on-site wellness center access or gym reimbursement
  • 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
  • Employee Assistance Program (EAP)
  • Employee Resource Groups (ERGs)
  • Colleague Giving Programs (ADM Cares)
  • Paid time off including paid holidays
  • Adoption assistance
  • paid maternity and parental leave
  • Tuition assistance
  • Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs
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