About this role
Requisition Id: 1760520 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
The opportunity
Project Analyst-National-Forensics-ASU - Forensics - Investigations & Compliance - Gurgaon National : National comprises of sector agnostic teams working across industries for a well rounded experience. ASU - Forensics - Investigations & Compliance : Successful organizations depend on their reputation for keeping promises, respecting laws and behaving ethically to maintain stakeholder trust. EY Forensic & Integrity Services professionals help organizations protect and restore enterprise and financial reputation. We assist companies and their legal counsel to investigate facts, resolve disputes and manage regulatory challenges.
We put integrity at the heart of compliance programs to help better manage ethical and reputational risks. Our integrated approach ranges from enhancements in areas of perceived weakness or issues — including governance, controls, culture and data insights — to full organizational design and structural implementation. We want to help companies safeguard and restore financial and brand reputations. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over.
Your key responsibilities Technical Excellence DATA ANALYST Python | SQL | AI/ML Fundamentals | AI-Assisted Coding EXPERIENCE 1-3 years EMPLOYMENT Contract / Full-Time
LOCATION
Gurugram / Client Site / Hybrid
ROLE OVERVIEW
We are seeking a technically capable Data Analyst with hands-on knowledge of Python and SQL, a sound theoretical understanding of Artificial Intelligence and Machine Learning, and the ability to use AI-assisted coding tools responsibly. The role supports data analysis, automation, validation, reporting, and technology-led project delivery.
KEY RESPONSIBILITIES
- Clean, transform, analyze, and validate structured or unstructured datasets using Python and SQL.
- Write and optimize queries using joins, CTEs, subqueries, aggregations, CASE statements, and window functions.
- Use Pandas, NumPy, and OpenPyXL for analysis, reconciliation, automation, and Excel/CSV processing.
- Identify trends, anomalies, data-quality issues, and inconsistencies;communicate findings clearly.
- Develop reusable scripts and support ETL, database, reporting, prototype, and proof-of-concept activities.
- Use GitHub Copilot, Microsoft Copilot, ChatGPT, or similar tools for code generation, debugging, documentation, and testing.
- Review, test, explain, and validate AI-generated code before use; protect confidential and client data.
- Document business rules, assumptions, scripts, workflows, and analytical outputs.
- EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, IT, Engineering, Data Science, Statistics, Mathematics, or a related discipline.
- Equivalent practical experience may be considered.
- MANDATORY SKILLS Python: Fundamentals, functions, loops, exception handling, Pandas, NumPy, file handling, data transformation, automation, and debugging.
- SQL: DML, joins, GROUP BY, CTEs, subqueries, CASE logic, window functions, temporary tables, keys, relationships, and data reconciliation.
- AI/ML Theory: Supervised vs. unsupervised learning, classification, regression, clustering, train/validation/test split, overfitting, features, targets, and model evaluation.
- Generative AI: Basic understanding of LLMs, prompt engineering, limitations, hallucinations, and responsible usage.
- AI-Assisted Coding: Ability to convert requirements into prompts, assess generated logic, detect errors, debug, test, and improve solutions independently.
- PREFERRED SKILLS Power BI, advanced Excel, Git, Jupyter Notebook, REST APIs, scikit-learn, Matplotlib/Seaborn, ETL pipelines, Microsoft SQL Server/SSMS, and Azure cloud.
DESIRED PROFILE
- Strong analytical and problem-solving ability.
- Attention to detail and disciplined data validation.
- Clear communication with technical and business stakeholders.
- Curiosity about GenAI, automation, and emerging technologies.
- Ability to work in a fast-paced, project-based environment.
- Success in this role: The candidate should use AI as a productivity accelerator, while retaining ownership of the logic, security, accuracy, testing and explainability of every output.
Skills and attributes To qualify for the role you must have Qualification Bachelor of Technology in Computer Science Bachelor of Computer Applications Master of Science in Data Science Master of Computer Applications Certification in Data Analytics Experience Data Analysis (2+ years) Data Engineering (4+ years) Computer Vision (2+ years) Artificial Intelligence (3+ years) Natural Language Processing (2+ years) Deep Learning (2+ years) Machine Learning (3+ years) What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements.
You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.
What we offer
Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.
EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in shaping the future with confidence.