Archer Daniels Midland-posted 5 days ago
Full-time • Entry Level
Chicago, IL
5,001-10,000 employees

The Financial Data Analyst will be a member of the ADMIS Treasury Department, reporting directly to the Credit & Portfolio Manager. The primary role of this position will be to support the data-based analysis utilized by the Treasury team. The position requires interaction with all team members to understand and support company objectives. The position will also interact with ADMIS and ADM global affiliates, clearing exchanges, brokers and customers.

  • Collaborate with team members to improve current report generation processes
  • Drive new analytic initiatives aimed at supporting department objectives
  • Identify, source, enhance and manage financial data
  • Prepare evaluations of the creditworthiness of ADMIS investment counterparties
  • Assist with impromptu client credit reviews
  • Manage the periodic credit review of FX client ECP qualifications
  • Perform Treasury operational tasks or projects as assigned
  • Bachelor's degree in a business-, finance-, or technology-related field
  • Strong core data literacy, including the ability to interpret charts, tables, and KPIs and to question data quality and assumptions
  • Proficiency in data analysis and data visualization techniques (e.g., Excel, Power BI, or similar tools)
  • Working knowledge of basic statistical concepts (e.g., distributions, correlation, variance) and their application to financial and credit analysis
  • Strong organizational skills and a high level of attention to detail
  • Strong problem-solving and critical-thinking skills, with the ability to translate data findings into practical recommendations
  • Excellent oral and written communication skills, including the ability to explain analytical results to non-technical stakeholders
  • Advanced Microsoft Office skills, particularly in Excel (formulas, pivot tables, and dashboards)
  • Advanced database and analytics skills, including SQL and experience with BI/reporting tools (e.g., Power BI)
  • Experience working with large or complex financial datasets, including data cleansing, reconciliation, and validation
  • Experience in the financial services industry, ideally within a credit, treasury, or risk management function
  • Familiarity with basic AI and machine-learning concepts relevant to financial analysis, such as predictive forecasting, anomaly detection, or scenario modeling
  • 2+ years of experience in a credit, treasury, or financial data/analytics role
  • Demonstrated ability to take ownership of analytical projects, manage multiple priorities, and meet deadlines in a fast-paced environment
  • competitive pay
  • medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable)
  • flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers’ compensation, legal assistance, identity theft protection
  • Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares)
  • Paid time off including paid holidays
  • Adoption assistance and paid maternity and parental leave
  • Tuition assistance
  • Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs
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