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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics solutions, utilizing SQL and Python for data extraction, transformation, and analysis. Proficient in developing interactive dashboards with Power BI and collaborating across teams to support audit and risk management initiatives.
Highest-signal resume keywords
SQL Data AnalysisPython Data TransformationPower BI Dashboard DevelopmentETL Concepts and ImplementationAI/GenAI Solutions Exposure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ExtractionData TransformationData ProfilingStatistical ModellingAnalytical LogicData ReconciliationAnalytical ProceduresComplex QueriesException TestingRisk-Based Analytics
Soft Skills
Strong CommunicationDocumentation SkillsProblem-SolvingCollaborationAnalytical Deliverable Management
Tools & Technologies
Power BIDatabricksSnowflakeETL ToolsEnterprise Systems
Industry Keywords
Internal AuditRisk ManagementSOX ControlsProcure-to-PayOrder-to-CashTravel & ExpenseITGCGRC ToolsERP EnvironmentsContinuous Controls Monitoring
Tech Stack
Tools & technologiesERPETLOraclePythonSQL
About the role
Key responsibilities & impact- Support delivery of data analytics solutions across Internal Audit, risk and controls engagements
- Work with large and complex enterprise datasets to develop, validate and visualize analytics
- Identify risk indicators, control exceptions and process improvement opportunities
- Perform data extraction, transformation, profiling and analysis using SQL, Python and ETL tools
- Develop and execute audit analytics, exception testing and risk-based analytical procedures
- Build interactive Power BI dashboards and reporting solutions
- Work with Databricks and/or Snowflake data platforms
- Perform data quality checks, reconciliations and validation
- Translate audit, risk and business requirements into analytical logic, data requirements and test scenarios
- Collaborate with Internal Audit, business, technology and data teams
- Document data logic, transformation steps, assumptions and analytical procedures
- Support Internal Audit transformation, automation and Continuous Controls Monitoring initiatives
- Identify opportunities to use AI/GenAI and LLMs in analytics, audit and risk management
Requirements
What you’ll need- Strong hands-on experience with SQL, including complex queries, joins, aggregations, data profiling and analytical logic
- Strong hands-on experience with Python for data analysis, transformation, statistical modelling, automation and scalable analytical solutions
- Strong understanding of ETL concepts, data transformation and multiple source systems
- Hands-on experience developing dashboards and analytical reporting solutions using Power BI
- Experience with data warehousing and modern data platforms such as Databricks and/or Snowflake
- Strong data analysis, reconciliation and problem-solving skills with large and complex datasets
- Ability to translate business, audit and risk requirements into structured analytical tests and actionable outputs
- Strong communication and documentation skills
- Exposure to AI/GenAI solutions and Large Language Models (LLMs)
- Ability to collaborate across multidisciplinary teams and manage analytical deliverables
- Understanding of Procure-to-Pay, Order-to-Cash, Travel & Expense, ITGC and SOX controls
- Understanding of risks, controls, KRIs and exception-based audit testing
- Exposure to enterprise systems and datasets such as SAP, Oracle, Workday, expense platforms, GRC tools or other ERP environments
- Experience or exposure to Internal Audit transformation initiatives involving analytics, automation or technology-enabled auditing
Benefits
Comp & perks- Flexible work environment
- Diverse and inclusive culture
- Professional development and continuous learning opportunities
- Opportunities to build new skills and take on leadership roles
- Mentorship and networking opportunities
- Health and wellness packages
- Rewards
- Learning opportunities
- Disability-related adjustments or accommodations during recruitment
- Equal opportunity employment and commitment to Diversity, Equity & Inclusion