Data Analyst, AI & Data

EY’s interview process typically starts with an online aptitude test followed by a technical interview focusing on SQL, ETL concepts, and BI tool proficiency. Candidates then face a managerial round that assesses problem‑solving, communication, and stakeholder‑management abilities, and finally an HR round that evaluates cultural fit and discusses compensation. Preparation should include hands‑on practice with Power BI/Qlik, SQL query optimisation, and scenario‑based data‑analysis case studies.

EY promotes a collaborative, inclusive environment where learning is continuous and employees are encouraged to take ownership of their growth. The firm offers flexible working hours, remote‑work options, and a strong emphasis on work‑life balance, backed by robust mentorship and leadership programs.

Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or any related engineering discipline. Minimum aggregate of 60% (or 6.0 CGPA on a 10‑point scale). No active backlogs at the time of joining. Fresh graduates and candidates from the 2023‑2026 batches are eligible. Candidates must have at least 1 year of relevant experience as a Data Analyst with exposure to ETL development and data warehousing.

Round 1: Online aptitude and technical assessment → Round 2: Technical interview (SQL/BI tool deep dive, case study) → Round 3: Managerial interview (scenario based, stakeholder handling) → Round 4: HR interview (fitment, culture, compensation).

Ernst & Young (EY) is one of the world’s leading professional services firms, helping clients across more than 150 countries build a better working world. With a strong focus on assurance, consulting, tax, strategy and transactions, EY combines deep industry knowledge with cutting‑edge technology, data, and AI to solve complex business challenges. The firm prides itself on a diverse and inclusive culture where every voice matters, and it invests heavily in continuous learning, leadership development, and flexible work arrangements. EY’s AI & Da ta practice, part of the Asia‑Pacific hub, brings together over 500 specialists who design, build, and implement data‑driven solutions for clients ranging from financial services to manufacturing. The role of Data Analyst in the AI & Data team is a full‑time, flexible position based in Singapore. You will act as a bridge between business stakeholders and technical teams, translating business problems into data solutions. Your day‑to‑day work will involve gathering requirements, designing interactive visualisations, writing complex SQL queries, and developing robust ETL pipelines. You will also be responsible for ensuring data quality, monitoring job performance, and staying up‑to‑date with emerging BI and data‑engineering best practices. Key Responsibilities: 1. Collaborate with cross‑functional teams to capture business requirements and translate them into technical specifications. 2. Design and develop interactive dashboards and reports using Power BI, Qlik, or similar tools. 3. Write, optimise, and maintain advanced SQL queries for data extraction and manipulation. 4. Build and fine‑tune data models within the chosen visualisation platform. 5. Perform end‑to‑end ETL processes for large, complex data sets from multiple source systems. 6. Implement data validation, testing, and governance controls to ensure data integrity. 7. Monitor, troubleshoot, and performance‑tune ETL jobs and data pipelines. 8. Document solutions, create user guides, and present insights to both technical and non‑technical audiences. 9. Keep abreast of new technologies, tools, and industry trends in BI and data engineering. 10. Contribute to knowledge‑sharing sessions and mentor junior team members. Tech Stack: Azure Data Factory, SQL Server / Azure SQL, Power BI, Qlik, Azure Synapse, Python (optional for scripting), Git for version control, and data‑governance frameworks. Growth Path: EY offers a clear career trajectory – from Analyst to Senior Analyst, then to Manager, Senior Manager, and eventually Director/Partner. The firm supports certifications (e.g., Microsoft Certified: Data Analyst Associate) and provides regular up‑skilling workshops, mentorship programmes, and global mobility opportunities. Why Join EY: You will work on high‑impact projects for Fortune‑500 clients, gain exposure to the latest AI and data technologies, and benefit from a culture that values diversity, continuous learning, and work‑life balance. EY’s flexible work policies, competitive remuneration, and strong emphasis on employee well‑being make it an attractive place for fresh talent to launch a rewarding data career.