Consultant
KPMG Global Services- Location
- Bangalore, Karnataka, India · Gurgaon, Haryana, India
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
Data Analyst
Key Responsibilities
- Perform data extraction, cleaning, and analysis from a variety of sources to support audit technology use cases.
- Create dashboards, reports, and visualizations to communicate insights to stakeholders across audit and technology teams.
- Collaborate with product managers, engineers, and business SMEs to define and refine metrics that support product development and audit objectives.
- Support data quality assessments, validation checks, and anomaly detection within audit datasets.
- Contribute to the development of reusable data assets, analytics models, and documentation for product integration.
- Assist in requirements gathering and specification for data-driven features and analytics tools in audit solutions.
- Maintain awareness of data governance, compliance, and security considerations relevant to audit data.
- Participate in the testing and evaluation of data and analytics capabilities, ensuring alignment with stakeholder expectations and regulatory standards.
Other responsibilities will typically include supervising teams; coaching and development in technical, risk & compliance management, operational and quality management; project management including budgeting and planning; delivery of quality reports; and some performance management responsibilities.
Experience & Knowledge Requirement - Required
- Experience in data analysis, business intelligence, or reporting within a professional services or technology environment.
- Proficiency in SQL and data analysis tools such as Excel, Power BI, or Tableau.
- Strong analytical mindset with the ability to derive meaningful insights from complex datasets.
- Familiarity with audit, risk, or compliance data is advantageous.
- Good communication skills, including the ability to translate technical findings into business-friendly insights.
A professional accountancy qualification from a recognised accountancy body is desirable but is not essential.
Bachelor’s degree in Data Science, Statistics, Finance, Economics, or a related field.
Skills
- SQL
- Excel
- Power BI
- Tableau
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