data analyst - data & analytics - assurance

Your role as a Data Analyst in our Assurance team, in the Data Analytics stream of services, will focus on the delivery of client engagements, by understanding objectives for clients and Deloitte, aligning your own work to objectives and setting personal priorities, teaming with others across businesses and borders and taking accountability for your own and the team’s results. In this role, you will build relationships and exercise your communication skills to positively influence your peers and other stakeholders. You will commit to personal learning and development by actively seeking opportunities for growth, you will share knowledge and experience with others, and act as a strong brand ambassador, embracing our purpose and values to put these into practice in your professional life.

During your tenure as a Data Analyst, you will demonstrate and develop the ability to:

• Extract, transform, validate, and analyze large volumes of financial and operational data to support Audit & Assurance engagements.

• Develop data transformation workflows and data quality controls to ensure audit-ready datasets.

• Design and deliver automated analytics, dashboards, and Business Intelligence (BI) reports that provide auditors with actionable insights.

• Utilize data analytics, automation, and Artificial Intelligence (AI) tools to enhance audit effectiveness and efficiency.

• Collaborate closely with audit teams to understand engagement requirements and translate them into analytical solutions.

• Communicate analytical findings and data-driven insights clearly to engagement teams and stakeholders.

• Contribute to the continuous improvement of analytics tools, reporting frameworks, and audit innovation initiatives.

#WinningRequirements

Specifically, candidates should possess the following attributes:

• 1–3 years of experience in Data Analytics, Audit Analytics, Assurance, Risk Advisory, or a related field;

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related discipline;

• Strong proficiency in Python for data processing, automation, analytics and reporting;

• Experience working with large and complex datasets to identify anomalies, trends, risks and business insights;

• Experience developing and maintaining analytics scripts, data pipelines and automated controls supporting audit and assurance engagements;

• Familiarity with software development best practices, including version control (e.g., Git), testing and code documentation;

• Understanding of audit, financial reporting, risk management or internal controls concepts is considered an advantage;

• Strong analytical, problem-solving and critical thinking skills.

Preferred Qualifications (nice to have)

• Experience with Databricks;

• Familiarity with Microsoft Azure data and analytics services (Azure Data Factory, Azure SQL, Azure App Services, Microsoft Fabric, Azure Databricks);

• Exposure to Artificial Intelligence (AI), Machine Learning or Generative AI solutions and use cases;

• Experience with Power BI or other data visualization and reporting platforms;

• Knowledge of data engineering concepts, ETL/ELT frameworks and modern data architectures