EY: Analyst – Assurance – Audit – Standards and Methodologies

Job Description

EY is hiring an Analyst – Assurance – National – ASU – Audit – Standards and Methodologies for its Bengaluru team. This opportunity is designed for early-career professionals with 0–1 years of experience who want to build a career in assurance, audit analytics, data management, and technology-enabled audit services. The role sits within EY’s National Assurance team, providing exposure to multiple industries and client engagements rather than focusing on a single sector. Candidates will support audit and assurance activities while developing practical knowledge of audit standards, business processes, data analysis, and technology-driven methodologies. With increasing demand for analytics and automation in modern audit environments, this position offers an opportunity to combine accounting and assurance concepts with technologies such as Power BI, Alteryx, SQL, Python, AI, and automation tools.

As an EY Assurance Analyst, the selected candidate will collaborate with engagement teams and contribute to multiple client assignments while maintaining quality, accuracy, and deadlines. The role involves participating in client discussions to understand business processes and requirements and using data-driven approaches to support audit analytics and assurance activities. Candidates are expected to develop proficiency in tools such as Alteryx, Power BI, SQL, Python, and PySpark, while gaining exposure to AI/ML models and the practical use of artificial intelligence in analytics. Automation technologies including VBA Macros, UiPath, and Power Automate can also be used to streamline repetitive processes and improve efficiency. This combination of audit methodology, data management, analytics, and automation makes the role relevant for technology-oriented graduates interested in modern assurance services.

The position also emphasizes continuous learning, analytical thinking, teamwork, and professional communication. EY expects candidates to stay informed about industry developments, emerging technologies, AI applications, audit analytics practices, and data management trends. Since the role involves collaboration across diverse teams and potentially multiple engagements, candidates must be organized, adaptable, detail-oriented, and comfortable managing competing priorities. A BCA qualification is required, while strong problem-solving ability, strategic thinking, curiosity, and a positive professional attitude are highly valued. Candidates should also be flexible about travel and working on weekends or holidays when business requirements demand it. This role can provide a strong foundation for professionals seeking long-term careers in audit analytics, assurance technology, data analytics, automation, and technology-enabled financial services.

Roles & Responsibilities

1. Support Client Engagements: Collaborate with engagement team members on assurance and audit-related assignments while taking ownership of allocated tasks and maintaining expected quality standards.
2. Manage Multiple Engagements: Work across multiple client engagements simultaneously, prioritize responsibilities effectively, and complete assigned deliverables within agreed timelines and professional standards.
3. Understand Client Processes: Participate in client discussions to understand business processes, operational requirements, data structures, and relevant information needed to support audit and assurance activities.
4. Apply Audit Analytics: Use data analytics techniques and appropriate technology tools to analyze information, identify patterns, support audit procedures, and provide useful insights to engagement teams.
5. Work With Data Tools: Develop practical proficiency in Alteryx, Power BI, SQL, and other data management technologies to support reporting, analysis, visualization, and audit-related activities.
6. Support Python & AI Analytics: Work with Python, PySpark, AI/ML models, and related technologies to explore data-driven approaches and support emerging applications of artificial intelligence in audit analytics.
7. Build Process Automation: Assist with automation initiatives using tools such as Python, VBA Macros, UiPath, and Power Automate to reduce repetitive manual activities and improve operational efficiency.
8. Follow Standards & Methodologies: Apply relevant audit standards, organizational methodologies, quality procedures, commercial requirements, and legal considerations when completing assigned work.
9. Monitor Industry Developments: Stay informed about emerging technologies, AI applications, data analytics practices, audit technology trends, and industry developments that could improve assurance processes.
10. Communicate With Stakeholders: Maintain clear and professional communication with engagement teams and clients, confidently discussing requirements, progress, issues, and relevant findings when required.
11. Maintain Accuracy & Detail: Review analytical outputs, reports, documentation, and deliverables carefully to ensure accuracy, consistency, completeness, and adherence to required standards.
12. Collaborate Across Teams: Work effectively with professionals from different backgrounds and skill sets while contributing to a positive team environment and supporting successful delivery of client engagements.

Requirements & Eligibility

1. Educational Qualification: Candidates must have a Bachelor of Computer Applications (BCA) degree or an equivalent relevant qualification that provides a foundation in computer applications, programming, databases, and technology.
2. Experience: The position is suitable for candidates with 0–1 years of experience, making it an appropriate opportunity for fresh graduates and early-career technology professionals.
3. Data Analytics Skills: Candidates should have an interest or working knowledge of data analytics, data management, reporting, and visualization concepts relevant to technology-enabled assurance and audit activities.
4. Technical Tools: Knowledge of Alteryx, Power BI, and SQL is important for working with data, creating analytical outputs, preparing visualizations, and supporting audit analytics requirements.
5. Python & PySpark: Familiarity with Python or PySpark is valuable for data processing, analytics, automation, and developing technology-based approaches to audit and assurance activities.
6. AI & Machine Learning: Understanding of AI/ML concepts and AI applications in analytics will be beneficial as assurance functions increasingly adopt artificial intelligence and advanced data analysis techniques.
7. Automation Knowledge: Exposure to Python automation, VBA Macros, UiPath, or Power Automate can provide an advantage when supporting process automation and efficiency improvement initiatives.
8. Analytical & Problem-Solving Skills: Candidates should possess strong analytical thinking, strategic reasoning, problem-solving ability, attention to detail, and the capability to convert complex information into practical insights.
9. Communication & Collaboration: Excellent communication skills, confident speaking ability, teamwork, and the ability to collaborate with diverse teams are essential for working across client engagements and internal functions.
10. Flexibility & Professionalism: Candidates should be adaptable, curious, quick to learn, positive in their approach, and willing to travel or work on weekends and holidays when required by client or business commitments.

Expected Salary

For an EY Analyst – Assurance position in Bengaluru with 0–1 years of experience, an indicative entry-level market range can be around ₹3.5 lakh to ₹6 lakh per annum, depending on the candidate's technical skills, role alignment, and overall compensation structure. Professionals with stronger knowledge of Power BI, Alteryx, SQL, Python, AI/ML, and automation may have stronger earning potential as they progress into specialized audit analytics and technology-enabled assurance roles.

🚨 Stop Scrolling – This Could Be Your Shortcut to Interviews

Most candidates apply to 100+ jobs and never hear back.
The real reason? They don’t know where recruiters are actually hiring from.

Our April Hiring PDF includes verified HR emails and hiring details from companies like:

Dentsu, IBM, HCL, PwC, LTIMindtree, Wipro, Cognizant, Deloitte, Capgemini, Amazon, TCS, Infosys, EPAM, EY, NTT Data, Tech Mahindra, Fractal, GlobalLogic, Coforge, UST and many more.

Inside you’ll find:
✔ 300+ Fresher Job Opportunities
✔ 2500+ Verified HR Emails & Contacts
✔ Direct Hiring + Consultancy Openings
✔ IT & Non-IT Roles

🔥 60+ students placed recently using these hiring leads

👉 Grab the April Hiring List Now: April Hiring PDF