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Decision Support AnalystApply Now
Decision Support Analyst
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 160,000 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.
Position Purpose & Summary: The Decision support team uses accounting and finance data and information to generate management reporting to ultimately creating a deep understanding of business performance and enhancing decision making capabilities by the business. This requires strong partnership with both the Accounting & Finance and the Financial Planning & Analysis teams. The shortlisted applicant will support continuous improvement activities for decision support and management reporting projects, finance process re-engineering in a bid to improve efficiency, data quality and data availability / reliability for FP&A. These activities will span over geographies, legal entities, business functions, domains in A&F as well as involving business teams and vendors. This requires working in close partnership and influencing at multiple levels within finance domains such as FRM, A&R, CBS and FP&A, as well as other functions such as Global IT. This position will be responsible for providing analysed information in a structured way, providing insights, assessing historical and current business performance to form business forecast, highlighting areas of opportunity for the FP&A team who will prioritise and build action plans. This position will also be tasked with identifying process optimisation and improving data integrity along with the Metals Business Unit’s continuous effort in Bluesea program to enhance business capability to support future growth.
70% - Management Reporting and Decision Support:
+ Support the Decision Support Lead and business FP&A in reporting and data needs, implementing performance indicators needed to measure business performance.
+ Design, develop, and deliver timely, accurate, and consistent management reporting.
+ Identify business insights from the financial data to enhance business decision making.
+ Prepare reports including but not limited to:
+ Business results and variance analysis, business review
+ SGA actual vs budget analysis
+ Business review requirements
+ Working capital, ROGI analysis
+ Scenario analysis
+ Supporting documentation and commentary
+ Productivity & profitability analysis
+ Working capital analysis
+ Ad hoc reporting
+ Others such as resource efficiency, risk management return, forex and tax.
+ Monitors key financial risks and communicates initial conclusions with FP&A and business partners for visibility and solutions.
+ Supports execution of the forecasting and budgeting process, activities may include:
+ Gather forecasting and long-range planning data from the business
+ Consolidate forecasts or annual operating plans
+ Prepare and finalize standard budget presentations and reports
+ Manages ad hoc requests with constructive and high-quality solutions. 20% - Continuous Improvement:
+ Supports and implements process simplifications, finance data quality / integrity improvement projects, automations and enhancements to standardise and improve business information.
+ Partner with Metals Business Intelligence team, using decision support expertise to create a digitalised future platform for management reporting using better technology such as Big Data.
+ Implementation of standardisation and improvement for management reporting and decision support so as to enable digitalisation with an end goal of articulating how finance data is consolidated, processed and transformed for reporting automation.
+ Supports new ways of working such as self-service data analytics for finance data through setting an example and by influencing peers in finance and business stakeholders.
+ Supports Metals’ Bluesea Program efforts and Metals’ systems and process landscape renewal where it impacts financial data that has been or will be ingested into Metals data warehouse for management reporting.
+ Supports optimisation of management reporting across a complex business operating in more than one country. 10% -
Business Partnership :
+ Partners with A&F and FP&A to achieve the finance strategy and strategic goals of the business.
+ Using an extensive knowledge of the business, communicates key analysis and initial conclusions with Financial Planning & Analysis and the business.
+ Partners with other Finance domains (e.g. A&R, FRM, Shared Services) to ensure delivery of accurate data and reports.
+ Interact and influence effectively at all levels – function leads, function SME, BI analysts, Global IT, business leaders
Required Education & Experience:
+ Bachelor’s degree in Finance or Accounting or equivalent professional qualification.
+ At least 5 years of total experience in accounting / finance, data analytics and management information analysis.
+ Background in financial accounting / middle office / management reporting domain knowledge, detail oriented.
+ Advanced knowledge in Excel, data visualisation and data cleansing skills.
+ Working knowledge of VBA, SQL, Tableau, Power BI & Data Analytics.
+ Ability to communicate, influence, and build trust with the stakeholders.
+ Possess a process improvement mindset.
+ Ability to interact with multiple teams in gathering requirements, garnering cooperation, and creating cross-functional process efficiency.
+ Demonstrated flexibility and ability to deal with ambiguity and change agility.
+ Demonstrates high degree of curiosity and self-motivated to learn.
+ Seeks different points of view and perspectives.
+ Good understanding of proprietary physical and derivatives commodity trading business strategies and related complex instruments.
+ Strong problem solving and analytical skills.
+ Understanding and experience working with JDE, SAP
+ Ability to plan, organize, coordinate, execute and track progress.
+ Self-starter and proactive. Preferred Skills & Experience:
+ Data engineering experience.
+ Experience with multiple business and / or international business experience.
+ R and Python programming skills.
+ Experience in Big data and ETL tools.
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