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Global Data Analyst

Position Purpose
The volume of analytical data that our businesses and analysts are generating is increasing significantly. Often proprietary data streams exist in disparate sources, hindering the analytics process. Furthermore, the breadth and frequency with which public data and market data is made available is also increasing. Although Cargill Agricultural Supply Chain (CASC) has started to adopt best practices regarding data centralized, integrated, scalable data systems and analytical tools, Global Trading Analytics (GTA) teams are still learning how to leverage these capabilities for both familiar and new trading opportunities. This creates data loss concerns as well as makes it very difficult for others in the GTA to utilize that data. The ideal candidate will need to understand what data adds value to our analysts and our trading teams, be able to engage our offices around the world to find that data, demonstrate the value of it. The candidate will work with the Trading Analytics Technology Team (TAT) to harvest, secure, and share the data, and help GTA analysts to understand how to leverage it with a common set of integrated tools. Building strong relationships within the World Trading Group, GTA, and the greater CASC organization will be critical for locating and extracting highly valuable proprietary data, and to increase the utilization of common data systems and tools globally.
Principal Accountabilities
40% Project Identification and Business Partnering / Training PNL accountability
Work with global GTA teams to identify and prioritize data and analytical infrastructure efforts based on trading opportunity.
Collaborate with the GTA Data & Modeling team and Trading Analytics Technology Team (TAT) to solution opportunities with scalable/integrated data systems and processes and focus on continuous improvement of analytical tools.
Ensure GTA awareness and train GTA analysts around new data, process and analytical capabilities. Demonstrate how new insights can be used and shared.
Serve as data Subject Matter Expert on special projects / initiatives
40% Data and Project Management / Workflow Integration
Team with GTA and TAT teams globally to ensure we capture, centralize and use the most valuable data for analysis in a systematic, repeatable, and accurate manner.
Train team members and support usage of centralized data from both relational and distributed platforms.
Ensure the organization, optimization, security, and accuracy of data on these platforms.
Document and help teach best practices for accessing these data through our foundational/integrated tools.
Maintain Data Catalog: report descriptions, key words, report owners, data tags, etc.
20% User Interface Development / Support
Design BI tool interfaces (Tableau, Power BI) where data and analysis can be effectively communicated to GTA's customers
Serve as co-administrator for the WTG / GTA BI sites, maintaining site organization, managing site users, and overseeing site performance and data sources
Train end-users to consume dashboards and analyses via Cargill's Tableau and Power BI web portals
Attend BI conferences and participate in internal user group forums and on-going web trainings
Required Qualifications
5 years managing data or data warehousing systems
Bachelor's Degree or higher in MIS or other data management or business-related field
Ability to synthesize data and process projects into clear, actionable plans
Ability to understand business requirements and serve as a consultant to internal teams
Significant experience with and understanding of relational and distributed data systems.
Experience using Tableau or Power BI to develop and deploy insights / reporting
Knowledge of or ability to rapidly learn agricultural trading business, and an understanding of the information that adds value to trading
Ability to develop productive relationships
Excellent communication skills. Ability to communicate with SR management
Preferred Qualifications
Experience working with and / or leading multicultural teams
Familiarity with using Oracle relational databases and/or Hadoop distributed file storage
Ability to develop SQL or Impala queries
Familiarity with scientific programming languages such as R, Python or C .
Familiarity with Cargill transactional and commercial data
Understanding of commodity trading / markets
International and domestic travel is required



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