Senior Data Analyst

Key Responsibilities:

• Assist Internal Audit department in planning, development and execution of data analysis procedures to create sustainable and repeatable data analytics.
• Provide support on the existing data analytics environment and existing Dashboard environments.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Asess data sources and validate completeness and accuracy of data received.
• Assist in the documentation of functional, technical and source data requirements.
• Interact with management and business partners to identify appropriate data elements required for analytics.
• Demonstrate knowledge of the data analysis process and experience with the application of data analytics in the assessment of IT and business processes.
• Provide data request support and guidance to audit teams throughout Audit Engagement mainly planning and execution.
• Provide support to Audit Strategic Operations (ASO) team on designing new dashboards and maintaining existing dashboards using Power BI or related technology.
• Support data requests from the Internal Audit team. Activities may include extracting and downloading data, organizing that data, data scrubbing and performing analyses including thorough documentation of the steps performed.
• Work with Internal Audit team members to meet departmental goal

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative discipline.
• 4+ years of hands-on experience in data analysis, business intelligence, or a similar analytical role.
• Strong proficiency in SQL and advanced Excel for data manipulation and reporting.
• Working knowledge of at least one programming language, such as Python or R, for data analysis and automation.
• Proven experience with data visualization tools like Tableau, Power BI, or Looker for creating impactful dashboards and reports.
• Excellent analytical thinking with the ability to draw insights from complex datasets and present findings clearly.
• Strong attention to detail, data accuracy, and quality assurance.