Chief Manager - Internal Audit (Data Analyst)

Tata AIG General Insurance Company; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tata AIG General Insurance Company in Mumbai is seeking a Chief Manager - Internal Audit (Data Analyst) to drive data-driven audit insights from the Lower Parel office. The role focuses on analyzing large datasets to strengthen internal controls and identify anomalies using advanced analytics.

The ideal candidate has 3-4 years of business or risk analysis experience, with hands-on Python and SQL skills, and the ability to develop automated scripts and dashboards for management reporting.

Qualifications

• 3-4 years of experience in Business or Risk Analysis.
• Exposure to systems and IT within internal audit.
• Proficient in Python and SQL for data extraction and analysis.
• Ability to create automated scripts and dashboards.
• Strong analytical and statistical understanding.

Responsibilities

• Use Python and SQL to extract, clean, and analyse data from various systems to assess internal controls and identify anomalies or trends.
• Develop automated scripts to streamline routine audit tasks and reporting processes.
• Create interactive dashboards and reports to summarize audit findings and present insights to management.
• Continuous monitoring of data and issue/ trend analysis.

Skills

Data analysis

Python

SQL

Dashboarding

Statistical analysis

Tools

R Studio

SAS

Hadoop

IDEA

Job description

Role: Chief Manager - Internal Audit (Data Analyst)

Job location: Lower Parel, Mumbai

Role & responsibilities:

• 3-4 years of experience in Business or Risk Analysis and Exposure to systems and IT
• Data Analysis & Reporting:
  • Use Python and SQL to extract, clean, and analyse data from various systems to assess internal controls and identify anomalies or trends.
  • Develop automated scripts to streamline routine audit tasks and reporting processes.
  • Create interactive dashboards and reports to summarize audit findings and present insights to management.
• Knowledge of data analytics tools/platforms such as R Studio, Python, SAS, Hadoop, Idea etc. good understanding and working experience in Python is must.
• Analytical Skills: To work with large amounts of data: facts, figures, and number crunching. Analyse it to find exceptions/red flags.
• Good Statistical understanding and application.
• Continuous Monitoring of data
• Issue/ trend analysis