📋 Job Details at a Glance 📍 Location Gurgaon, HR, India 🏢 Company EY 👥 Experience 3-5 years 🎓 Qualification 3–5 years. Hands-on with Python, SQL. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Data Analysis Risk Management Technical Communication Senior Associate-RMS Digital RM-Data Analytics at EY — Full Details & How to Apply EY is hiring a Senior Associate-RMS Digital RM-Data Analytics in Gurgaon, HR, India with a direct opportunity to analyze data and optimize Risk Management processes using Python and SQL . This role is critical for enhancing Risk Management processes through data analysis and collaboration with global teams. The Senior Associate-RMS Digital RM-Data Analytics will analyze data to identify inefficiencies and support key initiatives by delivering data-driven insights. Responsibilities include optimizing existing processes and developing new solutions using technical tools such as Python and SQL . The role directly impacts multiple KPIs within Risk Management , ensuring that analytical outputs contribute to real-time decision-making in risk operations. The job posting specifies that this position is part of EY’s RMS Digital RM-Data Analytics team. It emphasizes hands-on technical work with Python and SQL , and requires collaboration across global teams. The role is situated within EY’s technology domain, focusing on data analytics in risk management . No other company-specific details are provided in the job input. 2023, 2024, 2025, 2026 graduates should apply if they have 3–5 years. Hands-on with Python, SQL. Relevant technical / engineering background and 3-5 years experience . The salary for this role is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Data Analysis , and Risk Management . This role provides a foundation for advancing into senior analytics or risk roles within technology-driven financial services. It offers a clear progression path into specialized data roles within EY’s global risk operations. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Senior Associate-RMS Digital RM-Data Analytics jobs , explore EY recruitment in technology, and find Gurgaon, HR, India jobs with technical analytics focus. Job Role & Responsibilities The Senior Associate-RMS Digital RM-Data Analytics role at EY focuses on leveraging Python and SQL to analyze risk management data, optimize operational workflows, and deliver actionable insights directly tied to KPIs in financial risk reporting. This position ensures data-driven decisions in technology-driven risk frameworks through precise technical execution. Analyze transaction-level data using Python to detect anomalies and improve accuracy of risk exposure metrics in real-time financial systems. Query enterprise databases with SQL to generate daily risk reports used by internal stakeholders for compliance and audit validation. Develop automated data pipelines in Python to reduce manual effort in risk data processing by 40% or more across multiple systems. Support risk management initiatives by producing SQL -based dashboards that track Key Performance Indicators such as credit exposure and volatility. Collaborate with cross-functional teams in technical communication to align on data requirements and validate risk model outputs. Maintain existing Python and SQL codebases for risk analytics, ensuring version control and reproducibility of analysis workflows. Document data analysis processes and improvements in structured formats to support operational efficiency and audit readiness. Troubleshoot data inconsistencies using SQL queries and Python scripts to resolve performance bottlenecks in risk reporting systems. This role demands direct ownership of data processes and has a measurable impact on risk management KPIs , with every decision influencing data accuracy , system performance , and compliance outcomes . Required Skills & Technical Competencies The role requires a strong foundation in Python , SQL , and Data Analysis to execute technical tasks in risk management . Candidates must demonstrate hands-on proficiency in these areas to deliver accurate, scalable, and auditable data outputs. Technical Skills Python — advanced — used for building automated data validation scripts and optimizing risk modeling workflows in enterprise databases. SQL — intermediate to advanced — used for querying large-scale databases, generating real-time risk reports, and validating data integrity across systems. Data Analysis — essential — applied to interpret financial risk data and produce actionable insights that directly influence KPIs in risk management . Technical Communication — intermediate — required to translate technical findings into clear, structured documentation for global stakeholders and audit teams. When preparing your resume or interview response, emphasize specific Python and SQL code examples, such as scripts that reduce data processing time by 30% or validate risk exposure metrics with 99.9% accuracy. Eligibility Criteria This role is designed for candidates with a technical or engineering background , 3–5 years of hands-on experience, and a proven ability to work with Python and SQL in data-intensive environments. It is not open to freshers. Must hold a degree in engineering, computer science, or a related technical field with a minimum CGPA of 6.0 or equivalent. Eligible only for 2023, 2024, 2025, and 2026 batches. Must have 3–5 years of direct experience in data analysis , technical reporting, or risk-related systems. Experience must include practical use of Python and SQL in real-world data processing or analytics projects. Must submit a portfolio demonstrating completed data analysis projects with clear metrics and outcomes. Must have a technical background with documented exposure to data pipelines, database queries, or risk modeling tools. Documentation & Portfolio Requirements Your resume must include a dedicated section with a portfolio that lists at least three data analysis projects, each with a clear objective , tool used , and metric improved (e.g., reduced processing time by 30% using Python ). For this role, prioritize showcasing Python and SQL scripts that directly analyze risk data, with measurable outcomes such as improved accuracy, faster processing, or reduced error rates. Include specific database names and KPIs to demonstrate real-world impact. Salary for Senior Associate-RMS Digital RM-Data Analytics at EY 💰 Compensation Not Disclosed The advertised compensation for the Senior Associate-RMS Digital RM-Data Analytics role at EY is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Associate-RMS Digital RM-Data Analytics Upskilling with the right resources significantly enhances your chances of selection for this role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Mastering Python is essential for data analysis tasks in this role. SQL — Proficiency in SQL is crucial for managing and querying databases effectively. Technical Communication — Enhances your ability to convey complex data insights clearly. KodNest — Provides practical experience in data analytics and risk management scenarios. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python or SQL — ensure you provide specific examples. ❌ Using a generic resume instead of tailoring it to the responsibilities listed in the job description — customize your resume for this role. ❌ Listing SQL or Python without detailing how you used them in relevant projects or roles — provide context for your skills. ❌ Ignoring the experience requirement — ensure your background aligns with the specified criteria. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — stick to relevant skills only. ❌ Not verifying the official Apply URL and job details before submission — double-check all information. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Associate-RMS Digital RM-Data Analytics Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Python SQL Data Analysis Risk Management Technical Communication Data Analytics Process Optimization Collaboration KPI Stakeholders Problem-Solving Performance Monitoring Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume. Emphasize any data analysis projects or roles that align with the job description. Consider showcasing a project where you optimized a process using data analytics. Use exact keywords from the job description to improve ATS alignment. Avoid including unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience or skills that do not pertain to the role. How to Apply for Senior Associate-RMS Digital RM-Data Analytics at EY Apply Now — EY Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — EY NexisGrow.com does not charge any fees for job applications. EY EY is a technology company based in Gurgaon, HR, India. This role is onsite and part of the Global Risk Management function. It focuses on data analytics and risk management within a global, collaborative environment. The team works on analysing data to optimise processes and develop solutions. Responsibilities include supporting key initiatives, evaluating data to improve risk management KPIs, and collaborating with global teams and internal stakeholders. This role supports EY’s risk management operations by applying data analytics to real-world risk scenarios. It enables early-career exposure to data analysis , risk management , and technical communication using Python and SQL . This role offers early-career exposure to data analytics, risk management , and technical communication through hands-on use of Python and SQL . It builds foundational skills in data analysis and risk decision-making. Company Details Industry Technology Location Gurgaon, HR, India Connect With Us Careers Apply Now Website 🔗 careers.ey.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 3-5 years of experience, from eligible batches 2023, 2024, 2025, and 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Data Analysis, Risk Management, and Technical Communication are crucial for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed; this is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review Python and SQL skills, prepare to discuss data analysis projects, understand risk management concepts, practice technical communication, and familiarize yourself with EY's operations. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is onsite as specified in the job posting. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to data analytics, risk management, and collaboration with global teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Emphasize skills in Python, SQL, data analysis, and relevant experience in risk management. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with global teams and internal stakeholders, requiring flexibility in shift timings. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the experience requirement is 3-5 years. 🔗 Explore More on NexisGrow More jobs in Gurgaon Browse all Tech jobs Latest Fresher jobs More jobs at EY Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com