Roles & Responsibilities

The Analytics Data Modeler is a part of the Cargill Food and Bio (CFB) data analytics team and will apply in-depth knowledge to maximize the value of data, develop an in depth understanding of the business to innovate significant data driven insights to help business leaders make better decisions and will develop and combine subject matter expertise in key data domains. In this role, you will act as a partner with internal stakeholders and technical staff to execute a business technology strategy that delivers data and analytics solutions.

KEY ACCOUNTABILITIES

• Identify and analyze business needs, gather requirements and define the scope and objectives to drive business decisions.
• Prepare data models and explore new potential data sets to support reporting and analysis initiatives.
• Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.
• Focus on Scalability and re-usability of data models and data products within CFB enterprise.
• Lead analysis in collaboration with process and operations leadership to identify the top opportunities for improvement and track progress and impact on future results.
• Mentor and coach peers and recommend process improvements related to delivery and new methodologies.
• Partner with the team to develop a detailed understanding of the business and offer mentorship or technical solutions to identify business problems.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
• Other duties as assigned.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in a related field or equivalent experience
• Minimum of four years of related work experience
• Experience with Data Modeling

PREFERRED QUALIFICATIONS

• Certification in programming language or business intelligence tools
• Confirmed skills querying relational databases with query language
• Confirmed experience working with large data stores
• Experience with Data Solution / Architecture
• Strong understanding of Data Governance concepts
• Experience with data engineering and database management concepts
• Experience working with cross functional and Agile teams

Tell employers what skills you have

Tableau
Scalability
Data Analysis
Big Data
Data Modeling
Erwin
Hadoop
Data Management
Agile
Data Integration
Data Governance
Mentorship
Data Engineering
SQL
Python
Data Architecture
Business Intelligence Tools
Metadata
Data Analytics
Databases