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Analyst

genpact

  • Bangalore, Karnataka
  • 7-9 LPA
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

Genpact is a global professional services firm that blends business process expertise with digital technologies and AI. Founded in 1997 as a business unit of General Electric, it has grown into an independent, publicly listed company (NYSE: G) serving Fortune 500 clients across industries such as banking, healthcare, manufacturing, and supply chain. The company’s AI Gigafactory and its focus on process intelligence position it at the cutting edge of automation, helping enterprises achieve faster, smarter, and more scalable outcomes.

With a strong culture of continuous learning, Genpact invests heavily in upskilling its workforce through certifications, internal academies, and exposure to real‑world projects, making it an attractive destination for fresh talent looking to launch a technology‑driven career.

The role of Analyst – Process Analytics – SCM is designed for recent graduates who are passionate about leveraging data, automation, and AI to transform supply chain operations. As part of the Supply Chain Management (SCM) analytics team, you will work on end‑to‑end process improvement initiatives, building custom applications, automating workflows, and delivering actionable insights that drive efficiency for global clients. The position offers exposure to Genpact’s AI Gigafactory, Power Platform, and advanced analytics tools, providing a solid foundation for a long‑term career in analytics and digital transformation.

Key Responsibilities

  • Design, develop, and deploy user‑friendly custom applications using PowerApps and Power Automate.
  • Understand and model database relationships (one‑to‑one, one‑to‑many, many‑to‑one) to support data‑driven solutions.
  • Automate repetitive supply‑chain workflows, reducing manual effort and error rates.
  • Write clean, maintainable Python scripts for data extraction, transformation, and basic AI model integration.
  • Develop front‑end components with HTML, CSS, and JavaScript (JavaScript proficiency mandatory).
  • Create and maintain Excel dashboards, PowerQuery data pipelines, and Power BI reports with calculated measures and columns.
  • Leverage PowerPages/Power Portals and Dataverse to build secure, scalable web portals.
  • Integrate external Web API services to enrich analytics solutions.
  • Participate in Agile ceremonies, collaborate with cross‑functional teams, and contribute to sprint planning and retrospectives.
  • Document solutions, conduct knowledge‑transfer sessions, and support post‑implementation monitoring.

Tech Stack: PowerApps, Power Automate, Power BI, PowerPages, Dataverse, Python, JavaScript (HTML/CSS), Excel, PowerQuery, VBA, Web APIs, Agile tools (Jira, Azure DevOps).

Growth Path: Successful analysts can progress to Senior Analyst, Lead Analyst, and eventually Manager or Solution Architect roles, with opportunities to specialize in AI, advanced analytics, or supply‑chain consulting.

Why Join Genpact? You will be part of a globally recognized leader in digital transformation, work on high‑impact projects for Fortune‑500 clients, and gain hands‑on experience with cutting‑edge AI and automation platforms. The company’s strong learning culture, mentorship programs, and clear career ladders make it an ideal launchpad for ambitious freshers.

Eligibility & process

Who can apply

Bachelors in Business Analytics, Computer Science, Statistics or Masters in Data Science with minimum 60% aggregate; no active backlogs; strong analytical mindset; proficiency in English; graduation batch 2025‑2027 acceptable.

Skills & stack

Powerapps Power Automate Python HTML5 CSS3 JavaScript Advanced Excel Powerquery

Selection process

  1. Round 1: Online Assessment (aptitude & logical reasoning)
  2. Round 2: Technical Interview (coding, Power Platform, analytics concepts)
  3. Round 3: HR Interview (fit, communication, career aspirations)

Prep kit

20 resources
Study material 4
πŸ“– Genpact Placement Papers Curated set of previous placement papers to help candidates practice typical Genpact aptitude and technical questions. πŸ“– Genpact Recruitment Process Experiences First‑hand accounts of candidates detailing each interview round, useful for setting expectations and preparation strategy. πŸ“– Comprehensive Interview Preparation Guide Broad coverage of topics like data structures, algorithms, and case studies that are frequently tested at Genpact. πŸ“– Algorithm Practice Problems Extensive problem set to sharpen coding skills, especially for Python and JavaScript challenges common in Genpact technical rounds.
Company-specific guides 4
πŸ“– APTITUDE & LOGIC Aptitude Practice Questions & Online Mock Tests Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test. 🎯 COMPANY GUIDE genpact Interview Preparation Corner Comprehensive guide covering typical interview formats, common questions, and preparation tips for genpact and off-campus tech roles. πŸ“ MOCK TESTS & PAPERS Comprehensive Interview Prep Resources & Syllabus Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds. πŸ’» CODING PRACTICE Algorithm and Data Structure Problem Set Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
πŸ’» Two Sum & Two Pointers Array Optimization Easy / Medium Asked in 85% tech rounds ⚑ Live debugger πŸ’» Reverse Linked List & Detect Cycle (Floyd's Algorithm) Medium Frequently asked in core rounds ⚑ Live debugger πŸ’» SQL Nth Highest Salary with DENSE_RANK() & Subqueries Medium Top standard database question ⚑ Live debugger πŸ’» Valid Parentheses & Stack Implementation Easy / Medium Standard online assessment problem ⚑ Live debugger
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Powerapps, Power Automate, Python, HTML5, CSS3, JavaScript, Advanced Excel, Powerquery) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion genpact Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join genpact as a Analyst?
Highlight genpact's market reputation, recent tech innovations, and how your skills in Powerapps directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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