Senior Business Data Analyst at TD SYNNEX supporting global risk assessment through data analytics. Collaborate with cross-functional teams to identify compliance risks and improve business practices.
Responsibilities
Conduct in-depth data analysis involving large volumes of structured and unstructured data from ERP systems (SAP and others) and other sources to identify compliance risks and anomalies.
Support the design, development and maintenance of dashboards, visualizations, and reports using Power BI, Excel, and SQL to support E&C risks monitoring and investigations.
Contribute to the development of automated tools and scripts using VBA and Python.
Interpret financial statements and accounting data to support development of analytical solutions, compliance reviews and investigations.
Collaborate with global stakeholders to understand risk indicators, define data requirements and translate business needs into analytical solutions.
Assist in the design and development of risk assessments, fraud detection models, and compliance monitoring programs.
Work with APIs and integrate data from multiple systems to support automation and advanced analytics.
Contribute to the development of AI/ML-based tools and techniques to enhance risk detection and predictive analytics.
Participate in the design and development of best-in-class analytics solutions across E&C and other corporate functions.
Stay current on compliance trends, regulatory changes, and data analytics best practices.
Requirements
Bachelor’s or Master’s degree in Finance, Accounting, Technology, or a related field
Minimum 4-6 years of experience in a similar role, ideally within compliance, audit, or risk functions
Strong understanding of financial statements, accounting principles
Hands-on experience with ERP systems (SAP preferred)
Familiarity with compliance, fraud, and risk-related topics
Proficiency in Excel, Power BI, SQL, VBA, and Python (intermediate to advanced level)
Experience working with APIs and integrating data from multiple sources
Strong analytical thinking, attention to detail, and problem-solving skills
Excellent communication skills in English (Spanish or other languages are a plus)
Team player with the ability to work effectively in a multicultural, international environment
Ability to learn quickly, work independently, and manage multiple priorities
Interest or experience in AI/ML applications in data analytics
Experience with tools such as SharePoint, Power Apps, Snowflake or similar platforms is an advantage.
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