Data Conversion Advisor

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Data Conversion Advisor will lead the development of the digital learning data strategy to make learning data more accessible, understandable and usable by multiple stakeholders across the organization. In this role, you will execute the strategy which includes transforming, improving, integrating and visualizing large complex data based on business requirements. You will develop standards for database design and implementation of various strategic data architecture initiatives around data management, data quality, and data governance.

Key Accountabilities

• Develop the strategy to make digital learning data accessible for the company taking into account database design and structure, data integrity, visualization tools and business needs.
• Perform data extraction, collection, cleansing and preparation for consumption and respond to complex data requests.
• Drive reporting through the use of available technology, analyzing data to produce dashboards, metrics or insights and identify trends or anomalies, training others how to design and run visualization tool interfaces to effectively communicate to internal clients and stakeholders.
• Partner and consult with global analytical teams to ensure we gather, centralize and use the most valuable data for analysis in a systematic, repeatable and accurate manner and ensure timely and accurate data models that provide management information and analyze performance.
• Identify and communicate learning and development impacts through analysis, providing transparency, interpretations and solutions to leaders.
• Collaborate with teams of data scientists, data engineers, software engineers and business subject matter specialists to ensure timely delivery of data science models within budget.
• Gather external data, insights and best practices, connecting with internal stakeholders to share external best practices to improve internal practices, build business efficiencies and address gaps in capabilities.
• Other duties as assigned
• Provide expert thought leadership in your field and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent experience
• Proficiency with database management
• Experience using data visualization applications to develop and deploy insights and reporting
• Minimum of six years of related work experience

Preferred Qualifications

• Master's degree or doctorate degree in data science, computer science, mathematics or engineering
• Aptitude within a material master data domain
• Demonstrated project management skills
• Minimum of 10 years of experience working with data and data warehousing systems

Our Offer

We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.