Cargill Talent Insights Consultant in Wayzata, Minnesota

Talent Insights Consultant

Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience. We have 155,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.

Description

Position Purpose

Want to work at the forefront of Artificial Intelligence, Analytics and Human Resources?

Cargill has a significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about our people (employees, clients and customers) leading to insights that help us improve our value and impact to the business.

As the Talent Insights Consultant you will be an integral part of the People Analytics team and will bring strong management consulting skills to our HR Analytics capabilities. You will work in a growing Analytics team focused on building predictive insight to help leaders and HR make better people decisions. You will also be focused on setting up the insight’s capability within the Talent COE, working with key talent and performance subject matter experts. Additionally, you will partner with Senior HR Leaders and other stakeholders to gather and interpret data into meaningful and actionable workforce insights and trends for business and leadership. Candidates should be experienced in HR, data interpretation and analytics.

Principal Accountabilities

30% Agile Requirements- Serve as primary intake for analytics requests, and provide support for aligned functions throughout analytics process: proactive outreach on trends, incorporating external benchmarking, research support.

30% Story Telling- Translate complex and ambiguous business problems into project charters that clearly identify technical risks and project scope. Develop visualization outcomes and overall narrative to share analysis across a large group of business users.

20% HR Measurement- Able to functionally articulate more complex statistical and analytics techniques (e.g., machine learning, natural language processing, etc.) to stakeholders. Able to perform data basic modeling and forecasting.

10% Research- Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at Cargill to improve business decisions.

10% Relationship Building- Network with business stakeholders to develop a pipeline of analytics projects aligned with business priorities and insight needs.

#LI-BF1

Qualifications

Required:

  • Bachelor’s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Economics, Human Resources, Operations Research or related fields

  • Minimum 3 years relevant work experience (if bachelor’s degree) or minimum 3 years relevant work experience (if master’s degree), with a proven track record of driving value in a organizational setting using data science skills

  • Proficiency in Data Visualizations (Tableau or PowerBI)

  • Functional knowledge of HR Technology (e.g., SuccessFactors) and databases (e.g. AWS, Azure, Google Cloud)

  • Experience in project management and requirements gathering.

  • Ability to understand complex and ambiguous business needs and applying the right tools and approaches.

  • Must be curious, self-motivating, driven and have a passion for problem solving

  • Collaborative team player

  • Excellent communication skills, both written and verbal

  • Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way

Preferred:

  • Master’s degree from an accredited college/university in Business Analytics, Business Administration, Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or related fields.

  • Experience in Human Resources or management consulting

  • Experience working in a cloud environment (e.g., AWS)

  • Experience with predictive model deployment, tuning, and performance monitoring

  • Functional understanding of various modeling algorithms and statistical techniques Other relevant information to the position

  • Career Development/Benefits: Organization Breadth – learning about multiple businesses and processes; fast paced, collaborative environment, ability to grow with People Analytics team. Gained skills about the business as well as technical machine learning capabilities.

Equal Opportunity Employer, including Disability/Vet.

Job Human Resources

Primary Location US-MN-Wayzata

Schedule Full-time

Job Type Standard

Shift Day Job

Req ID: WAY06960