Project Analyst
Ernst Young · Gurugram · onsite · Posted 2d ago
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About this role
Job Summary
The opportunity: Project Analyst-National-Forensics-ASU - Forensics - Investigations Compliance - Gurgaon
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
- 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
- Bachelors 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
- ETL pipelines
- Microsoft SQL Server/SSMS
- 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.
Qualifications
- 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)
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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About Ernst & Young

Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
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