R&D Analytics & Systems Analyst

This position does not include a relocation package. Local candidates within 50 miles of work site will be considered

Summary:

The R&D Analytics & Systems Analyst will help advance the way we capture, analyze, calculate and visualize scientific data within Dairy Foods R&D. This role is essential for transforming raw data into actionable insights and ensuring that our data systems and processes are optimized for accuracy, consistency, and usability. By advancing our statistics and analytics capabilities, managing data systems, and enabling R&D scientists and engineers, this position directly contributes to improved decision-making, streamlined operations, and value creation in our R&D and manufacturing processes.

Responsibilities:

Analytics & Reporting - 60%

• Utilize internal data to identify and lead standardization efforts to simplify analysis of key processing and attribute analyses (R&D generated, PP, manufacturing data).
  
  


• Build dashboards/visualization and utilize statistical process control tools to enable greater understanding and advanced analytics of processing parameters at manufacturing sites.
  
  


• Work with R&D developers and engineers to identify key areas for value creation using existing data, resulting in Value Creation project chartering
  
  


• Perform statistical analysis on experimental and manufacturing data to develop actionable insights and deepen foundational knowledge, including but not limited to:
  
  


• Design and analysis of experiments (factorial DOE and response surface methodology)
  
  


• Hypothesis tests
  
  


• Regression models
  
  

• Work with IT teams to create data pipelines and best practices for data management within R&D.
  
  


• Perform data validation checks and ensure key measurements are captured in data systems.
  
  


• Assist with data automation efforts pilot plant (potential future scope expansion to manufacturing sites)
  
  


• Act as voice of R&D for data modernization efforts led by cross-functional teams (IT, Dairy Digital Manufacturing
  
  

Training & Enablement - 10%

• Partner with current R&D Statistician to create and give broad and targeted training to R&D team members.
  
  


• Develop cross-functional partnerships to maintain best operating/coding practices across the organization.
  
  


• Act as a change agent for new tools and processes.
  
  

Required Experience/Knowledge:

• Bachelor's degree or higher in statistics, data science, computer science, or a related field along with a minimum of 2+ years of industry experience. Experience working with R&D and/or manufacturing data preferred.
  
  


• Experience in Microsoft suite including Power BI and Excel, basic SQL, statistical analysis.
  
  


• Proficient in R, Python, or a comparable programming language.
  
  


• Ability to communicate complex data insights to technical and non-technical audiences.
  
  


• Knowledge of data visualization best practices and tools.
  
  


• Familiarity with data pipelines, ETL processes, and cloud platforms.
  
  

About Land O'Lakes, Inc.

Join us and be part of a Fortune 250, farmer- and member-owned cooperative that is reimagining the business of food. We have been named a Top Workplace by Indeed and LinkedIn, and to the TIME 100 Most Influential Companies list.

Benefits for most full-time roles include medical, dental, vision, PTO, life & disability insurance, education assistance, a 401k and a variety of well-being resources. Most part-time employees are eligible for prorated PTO, holiday pay, employee development programs, prorated education assistance, and a 401(k).

Land O'Lakes, Inc. is an Equal Opportunity Employer (EOE) M/F/Vets/Disabled. The company maintains a drug-free workforce, including post-employment substance abuse testing pursuant to a Drug and Alcohol Policy.

Neither Land O'Lakes, nor its search firms, will ever contact you and ask for confidential information over the phone or in email. If you receive a call or email like this, please do not provide the information being requested.