Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
About the role
- 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.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
- Diversity, Equity & Inclusion programs
- Networking opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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