Trainee

EY GDS interviews typically start with a timed online aptitude test, followed by a technical interview that probes your understanding of SQL, data manipulation, and basic machine‑learning concepts. The final HR round assesses cultural fit and communication skills. Candidates should practice clear problem explanation and showcase any project work related to data pipelines or analytics.

EY GDS fosters a collaborative environment where learning and mentorship are integral. Employees benefit from global exposure, continuous upskilling programs, and a balanced work‑life schedule that encourages personal growth alongside professional responsibilities.

Graduates from B.Tech/B.E., B.Sc., B.Com, MCA, or MBA with a focus on Analytics/Data Science. Minimum 60% aggregate in the qualifying degree. Open to 2024, 2025, and 2026 batch graduates. No active backlogs at the time of joining; a maximum of one pending backlog is permissible if cleared before the joining date.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal) → Round 2: Technical Interview (Data concepts, SQL, Python, case studies) → Round 3: HR Interview (Fit, motivation, cultural alignment)

Ernst & Young Global Delivery Services (EY GDS) is the technology and analytics arm of EY, one of the world’s leading professional services firms. With a presence in over 150 cities across 30+ countries, EY GDS helps clients harness the power of data, AI, and automation to drive business transformation. The organization prides itself on a collaborative culture, continuous learning, and a strong focus on delivering innovative solutions that create real value for global enterprises. As a fresher-friendly hub, EY GDS invests heavily in upskilling its talent through structured training programs, mentorship, and exposure to cutting‑edge projects across industries such as finance, healthcare, and retail. The Data role at EY GDS is designed for recent graduates who are passionate about turning raw data into actionable insights. In this position, you will work alongside seasoned data scientists, analysts, and engineers to design, develop, and maintain data pipelines, perform exploratory data analysis, and support the creation of dashboards and visualizations for internal and client‑facing projects. You will get hands‑on experience with modern data platforms, cloud services, and advanced analytics tools, while contributing to real‑world business problems that impact Fortune‑500 companies. Key Responsibilities: 1. Collect, clean, and preprocess structured and unstructured data from multiple sources. 2. Build and maintain ETL pipelines using tools such as Apache Airflow, Talend, or Azure Data Factory. 3. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 4. Develop interactive dashboards and reports using Power BI, Tableau, or Looker. 5. Assist senior analysts in building predictive models using Python/R and machine‑learning libraries. 6. Write efficient SQL queries for data extraction, transformation, and loading. 7. Document data workflows, data dictionaries, and standard operating procedures. 8. Participate in code reviews and adopt best practices for data governance and security. 9. Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions. 10. Stay updated with emerging data technologies and propose improvements to existing pipelines. Tech Stack: Python, R, SQL, Apache Spark, Hadoop, Azure/AWS/GCP, Power BI, Tableau, Git, Docker, CI/CD pipelines. Growth Path: Freshers start as Data Analysts/Associates, progress to Senior Analyst, then to Data Engineer or Data Scientist roles, and eventually can move into Lead or Manager positions overseeing large analytics programs. EY GDS also offers rotational opportunities across domains, enabling a broad skill set and rapid career advancement. Why Join EY GDS? You will be part of a global network that values learning, diversity, and innovation. The firm offers structured training, mentorship from industry experts, and exposure to high‑impact projects early in your career. Competitive compensation, performance‑linked bonuses, and a supportive work‑life balance make EY GDS an attractive launchpad for aspiring data professionals.