Business Analyst for Management Decision

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Employer: Cargill
  • Banks - Financial Institutions
  • Accounting - Finance
  • Management - Consulting
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 15.02.2019
    Short company description

    Working at Cargill is an opportunity to thrive—a place to develop your career to the fullest while engaging in meaningful work that makes a positive impact around the globe. You will be proud to work for a company with a strong history of ethics and a purpose of nourishing people. We offer a diverse, supportive environment where you will grow personally and professionally as you learn from some of the most talented people in your field. With 150 years of experience Cargill provides food, agriculture, financial and industrial products and services to the world. We have 150,000 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. Learn more at


    •Bachelor’s Degree in Finance, Accounting, Data, MIS, or related field
    •Minimum 5 years of accounting/finance, and/or data management experience at a large scale organizational
    •Advanced Excel and data analytics including demonstrated ability for use of BI tools
    •English Proficiency
    •Proven ability to develop partnerships and effectively influence change across a broad stakeholder network
    •Strong understanding of business, business processes, and various systems to enable business decisions.
    •Excellent communication skills, both written and verbal
    •Strong problem solving and analytical skills
    •Demonstrated flexibility and ability to deal with ambiguity
    •Demonstrated ability to understand and use technology to improve process and control
    •Ability to travel up to 20% of the time
    •Master’s Degree in Business or related field, preferred
    •Working knowledge of MS office, Tableau/Power BI, Alteryx and other interrogation/visualization tools, will be preferred
    •Experience with multiple businesses and/or international business experience, preferred
    •Experience managing technical data and BI, and/or decision support partner teams, will be preferred
    •Demonstrated continuous improvement mindset, process optimization, and intellectual curiosity.
    •Ability to communicate and use visualization tools (e.g. dashboards) to tell the story.


    This position is a part of the Management Information and Decision Support (MIDS) domain, with specific focus on the management information competencies of data management and business data engineering across Cargill’s enterprises, groups, and businesses.

    •Deploy the strategy, plan, and processes to effectively manage data, data engineering, and financial analytics across the region
    •Develop strong decision support partnership with key Decision Support leads and other finance domains
    •Partner with Global IT (GIT), global data owners, and the evolving data strategies to make master data a trusted strategic asset driving consistency, quality, timeliness and efficiency with focus on core Enterprise Resource Planning (ERP), Global Finance Platform (GFP), and related BI technologies (i.e. Tableau, Alteryx, Power BI).
    •Execute the master data rules provided by function, process and business data owners. Primary support is centered around ERP (JDE, SAP) and other technologies that require consistency in data .
    •Enable high quality master data for transaction process and Decision Support
    •Deliver sustainable, effective, and efficient financial analytical solutions
    •Standardize data across teams in the region to enable consistency and quality control of key business data
    •Standardize reporting across business to meet reporting needs.
    •Partner globally and cross-enterprise to leverage scale, expertise, and best practices
    •Achieve and continuously improve span of control and fragmentation of work targets
    •Develop/Implement a strategy to increase the reuse of financial solutions
    •Move up the curve from reporting to dashboards (self-service) to streamlined data with advanced analytic tools
    •Continuous Improvement.