Data Analyst - Audit

Location: Bengaluru

Role:
Data Analyst - Min - 6 years of Exp

Key Responsibilities:

1. Strategic Leadership & Roadmap Development
Define the Vision:  Design and execute the long-term data analytics strategy, for proactive  Continuous Monitoring .
Methodology Evolution:  Lead the transition toward full-population testing by embedding analytics into the risk assessment phase.
Governance Framework:  Strengthen data governance framework to ensure the integrity, security, and accuracy of data used in audit reporting, ensuring all workflows are documented for regulatory reliance.
2. Advanced Analytics & Tech Stack (Python, SQL, Power BI)
Advanced Modeling (Python):  Oversee the development of complex models using  Python  or  R . Utilize predictive analytics, statistical sampling, and machine learning algorithms to anticipate emerging risks rather than just reporting on past events.
Data Extraction & Manipulation (SQL):  leverage advanced  SQL  scripting to query enterprise data warehouses directly.
Visualization & Storytelling (Power BI):  Architect dynamic executive dashboards using  Power BI  that translate complex datasets into intuitive visual stories, allowing stakeholders to "self-serve" risk insights.
Fraud Detection:  Architect sophisticated fraud detection scenarios and behavioral analysis models to identify anomalies across financial and operational datasets.
3. Stakeholder Management & Business Impact
Translating Data to Value:  Act as the bridge between technical data teams and business stakeholders. You must articulate complex findings into clear, actionable business insights for the Audit Committee.
Business Acumen:  Apply deep  business knowledge  to analytics. You must understand  how  the business generates revenue and where operational risks lie to ensure models are commercially relevant, not just theoretically correct.

Cross-Functional Collaboration:

Partner with internal teams to leverage existing data lakes and align on architecture.
4. Team Leadership & Quality Assurance
Mentorship:  Manage and mentor a team of data analysts and auditors. Foster their technical growth in  SQL  querying,  Python  scripting, and  Power BI  dashboarding.
Quality Control:  Ensure all analytical deliverables meet rigorous documentation standards. Validate code logic and query integrity to ensure results are accurate and suitable for external audit reliance.