Consultant

Consultant

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.

Experience Level

Mid Level