📋 Job Details at a Glance 📍 Location Noida, UP, India 🏢 Company Genpact 👥 Experience 3-4 years 🎓 Qualification 3–4 years. Hands-on with Spark. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Apache Spark AI Models Agentic AI Process Intelligence Data Modeling Data Analyst at Genpact — Full Details & How to Apply Genpact is hiring a Data Analyst in Noida, UP, India with hands-on experience in Apache Spark and AI models . This role offers remote work flexibility, enabling candidates to work from anywhere while contributing to real-time business intelligence solutions. This Data Analyst role involves building and deploying AI solutions using Apache Spark , AI Models , and Process Intelligence . The position directly supports data transformation and insight generation, enabling teams to address complex operational challenges through scalable data processing and modeling. The job posting highlights that Genpact is focused on deploying advanced technology solutions, with a specific emphasis on AI-driven tools like Agentic AI and Data Modeling . The role is part of a team that works with cutting-edge data platforms to deliver actionable business outcomes in technology-driven environments. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 3–4 years. Hands-on with Spark. Relevant technical / engineering background and 3-4 years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Apache Spark , AI Models , Agentic AI , Process Intelligence , and Data Modeling . This experience builds a strong foundation for advancing into AI-driven analytics or data engineering roles within technology firms. 📊 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. Job Role & Responsibilities The Data Analyst at Genpact is responsible for processing large-scale datasets using Apache Spark to generate actionable insights that directly influence process intelligence and operational decision-making in technology-driven business environments. Analyze complex datasets using Apache Spark to derive insights on key performance indicators such as transaction volume, error rates, and system latency across enterprise workflows. Develop and deploy AI models to predict process bottlenecks and improve operational efficiency by evaluating historical workflow data with regression and classification techniques. Collaborate with engineering teams to integrate data modeling outputs into existing systems, ensuring seamless data flow between analytics pipelines and production applications. Monitor data quality and performance metrics such as data completeness, latency, and accuracy to maintain reporting reliability across business units. Maintain and optimize existing data models and Spark-based codebases to reduce execution time by at least 15% and improve query performance under load. Document data processing workflows and model outputs to standardize reporting accuracy and support audit trails for compliance with enterprise data governance policies. Troubleshoot data pipeline failures in Apache Spark jobs, identifying root causes such as schema mismatches or memory leaks and implementing fixes within 24 hours. Implement Process Intelligence frameworks to map end-to-end business processes and identify inefficiencies using structured data from operational logs and transaction records. This role demands full ownership of data analysis pipelines, where every decision directly impacts operational efficiency , data accuracy , and AI model performance in real-world business operations. Required Skills & Technical Competencies The Data Analyst must possess a strong foundation in Apache Spark , AI Models , Process Intelligence , and Data Modeling to execute technical tasks with precision and scalability. Technical Skills Apache Spark — advanced — used to process large-scale datasets in real-time and batch environments, including execution of SQL queries and DataFrame transformations on petabyte-scale data. AI Models — intermediate — applied to build predictive models for process performance, such as churn prediction or workflow failure forecasting using supervised learning algorithms. Process Intelligence — intermediate — leveraged to analyze workflow data and identify inefficiencies in enterprise operations using process flow diagrams and event logs. Data Modeling — advanced — used to design scalable data schemas and relational models that support both AI model training and real-time reporting systems. Agentic AI — entry — applied in prototype development to create autonomous agents that perform data validation and anomaly detection in operational workflows. When preparing your resume or interview response, emphasize hands-on experience with Apache Spark job execution, AI model training pipelines, and data modeling in production environments. Eligibility Criteria This role is designed for candidates with a technical or engineering background , who have completed a 3–4 year degree in computer science, data science, or a related field and have practical experience with data tools. Must hold a degree in Computer Science, Engineering, or a related technical discipline with a minimum of 3–4 years of hands-on experience. Eligible only for 2023, 2024, 2025, and 2026 academic batches. Must have demonstrated experience in data analysis or data engineering projects involving Apache Spark or AI model development . CGPA or academic performance is not specified, but a strong technical foundation is required. Must have a portfolio showcasing data modeling or AI model implementation using real-world datasets or enterprise workflows. Must have completed at least one project involving process intelligence or data pipeline design using Apache Spark or similar tools. Documentation & Portfolio Requirements Your resume must include a clear section on data projects with specific tools used (e.g., Apache Spark ), metrics tracked (e.g., data latency, error rates), and AI model performance results. Include a portfolio with at least one case study showing Apache Spark job execution, AI model training, and process intelligence analysis using real operational data. This demonstrates direct technical capability and aligns with Genpact ’s data-driven workflow needs. Salary for Data Analyst at Genpact 💰 Compensation Not Disclosed The advertised compensation for the Data Analyst role at Genpact 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 Data Analyst Upskilling with the right resources significantly improves your selection odds for the Data Analyst role at Genpact . Recommended Courses & Resources Apache Spark — Mastering this technology is essential for data processing in this role. KodNest — This course enhances your analytical skills and understanding of AI models . Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Apache Spark — Include specific projects or roles where this skill was utilized. ❌ Using a generic resume — Tailor it to highlight relevant experience and responsibilities from the job description. ❌ Listing technologies like AI models without details — Detail how they were applied in past projects or roles. ❌ Ignoring the specified experience requirement — Ensure you meet the 3-4 years of experience criteria. ❌ Adding unrelated skills or unsupported claims — Focus on relevant experience to avoid ATS rejection. ❌ Failing to verify the official Apply URL — Always check the URL before submission to avoid errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your 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 Data Analyst Optimizing your resume for ATS is crucial for securing an interview for the Data Analyst role at Genpact . ATS Keywords to Include Data Analyst Apache Spark AI Models Process Intelligence Data Modeling Agentic AI Data Analysis Business Insights Operational Efficiency Collaboration Performance Metrics Troubleshooting Resume Tips for This Role Highlight your experience with Apache Spark prominently, as it is a critical requirement for the role. Emphasize your familiarity with AI models and how you've applied them in previous projects or roles. Showcase a project where you utilized data analysis tools, particularly Apache Spark , to solve a business problem. Use exact keywords from the job description naturally in your resume to align with ATS requirements. Avoid including unsupported technologies or experiences that you cannot substantiate with evidence. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated skills or unsupported claims in your resume, as they may dilute your qualifications. How to Apply for Data Analyst at Genpact Apply Now — Genpact Open the official Apply URL and confirm the job title and company matches the Data Analyst position at Genpact . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. 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 — Genpact NexisGrow.com does not charge any fees for job applications. Genpact Genpact is a technology solutions company based in Noida, UP, India . It operates in a remote work mode and specializes in AI and digital innovation . The company delivers advanced technology solutions focused on transforming business operations through data-driven approaches. The team develops and deploys AI Models , Agentic AI , and Process Intelligence solutions. They collaborate with engineers and business stakeholders to build data-driven outcomes, leveraging tools like Apache Spark and Data Modeling to solve real-world challenges. This role supports Genpact ’s mission to scale advanced technology solutions through its AI Gigafactory, where cutting-edge AI and process intelligence are applied to help enterprises work smarter and grow faster. Early-career professionals gain exposure to Apache Spark , AI Models , and Agentic AI —key technologies shaping the future of data and automation. This hands-on experience builds foundational skills in data modeling and AI-driven problem solving. Company Details Industry Technology Location Noida, UP, India Connect With Us Careers Apply Now Website 🔗 genpact.wd108.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical or engineering background and 3-4 years of experience can apply. Eligible batches are 2023, 2024, 2025, and 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills include Apache Spark, AI Models, Process Intelligence, and Data Modeling. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which 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 Prepare by reviewing Apache Spark applications, understanding AI models, practicing data analysis techniques, familiarizing yourself with process intelligence, and preparing to discuss your relevant experience. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is remote, allowing for flexible work arrangements. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to advanced technologies like Apache Spark and AI models, enhancing skills in data analysis and business intelligence. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Apache Spark, AI models, data analysis, and any relevant projects or responsibilities. ? 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 engineering teams and focuses on developing data-driven solutions, but specific work culture details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 3-4 years of experience, making it unsuitable for freshers. 🔗 Explore More on NexisGrow More jobs in Noida Browse all Tech jobs Latest Fresher jobs More jobs at Genpact 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