The Senior Specialist, Internal Audit – Financial & Data Analytics plays a critical role in delivering high value, data driven internal audit and advisory engagements. This role is heavily focused on financial analysis, performance insights, and advanced data analytics, integrating FP&A skillsets into internal audit work to enhance risk coverage, anomaly detection, and business insight.
The role partners closely with Finance, FP&A, and business stakeholders to evaluate financial integrity, forecasting accuracy, management reporting, and key financial risks through analytics enabled audit techniques.
Key Responsibilities
Financial & FP&A Focused Audit Execution
- Lead and perform financial centric internal audits covering:
- Financial planning, budgeting, and forecasting processes
- Management reporting and key performance indicators (KPIs)
- Cost structures, margin analysis, and profitability drivers
- Revenue, expense, and working capital trends
- Evaluate the accuracy, completeness, and reasonableness of financial models, assumptions, and forecasts.
- Assess governance and controls over financial analysis, variance analysis, and performance tracking.
Data Analytics & Continuous Risk Assessment
- Contribute to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
- Extract data from various sources (databases, APIs, web scraping, etc.), clean it, and transform it into a usable format. This often involves dealing with challenging datasets that includes missing values, lump sum amounts, inconsistencies, and different data types/format.
- Design and execute data driven audit procedures using advanced analytics to:
- Identify anomalies, trends, and outliers in large financial datasets
- Perform end to end population testing rather than sample based testing
- Support continuous auditing and monitoring initiatives
- Build and maintain repeatable analytics scripts and audit routines.
- Predictive Modelling: Building ML models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
- Create dashboards to aid in continuous monitoring efforts or present audit findings.
- Collaborate with stakeholders to translate audit objectives into data questions and analytical approaches.
Internal Audit & Risk Advisory
- Lead or supervise audit engagements from planning through reporting, including:
- Risk assessment and scoping
- Audit program design with a strong analytics component
- Results communication and issue validation
- Provide forward looking insights beyond control gaps, highlighting:
- Process inefficiencies
- Financial risks and opportunities
- Data quality or reporting reliability issues
- Support ad hoc management and Board level requests involving financial analysis.
Stakeholder Management & Collaboration
- Act as a trusted partner to Finance, FP&A, and business teams.
- Present audit findings and analytical insights clearly to senior management.
Process Improvement & Innovation
- Drive the integration of advanced analytics and automation into internal audit methodology.
- Identify opportunities to:
- Improve financial controls through data insights
- Enhance audit efficiency through scripting and visualization
- Stay current on data analytics tools, finance transformation trends, and audit innovation.
Required Qualifications & Experience
Education & Certifications
- Bachelor’s degree in Accounting, Finance, Business Analytics, Economics, or related field
- Professional qualifications preferred, such as:
- CPA / CA
- CIA
- CFA (or partial completion)
- CISA (analytics heavy roles)
Experience
- 4–7 years of experience in:
- Internal audit, external audit, FP&A, or financial analysis
- Demonstrated experience in financial planning, forecasting, and performance analysis.
- Hands on experience applying data analytics in audit or finance roles.
- Prior experience supervising or mentoring junior team members is preferred.
Technical & Analytics Skills
- Strong understanding of:
- Financial statements and management reporting
- Budgeting, forecasting, and variance analysis
- Internal controls and risk management frameworks
- Data Analytics & Tools:
- Advanced proficiency in one or more of the following:
- SQL
- Power BI (DAX and Power Query) / Tableau
- Python / R (for Machine Learning and advance statistical analysis)
- Advanced Excel (Power Query, Power Pivot, VBA)
- Experience working with:
- Large ERP datasets (e.g., SAP, Oracle, Teradata)
- Snowflake
- Financial and planning systems
Key Competencies
- Strong analytical mindset with attention to detail
- Ability to translate complex data into clear business insights
- Excellent communication and stakeholder management skills
- Proactive, curious, and comfortable challenging assumptions
- Ability to balance audit rigor with commercial awareness
Why Join This Role
- Exposure to finance leadership and strategic decision making
- Opportunity to shape the future of analytics driven internal audit
- Blend of assurance and value adding advisory work
- Continuous learning across data, finance, and audit disciplines