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REQUIREMENT_ID_98 β€’ 3-DAY_ACTIVE_POLICY

Analyst – Business Data Services 5B

Company
Company Genpact
Type
Opportunity Type Internship
Salary
Stipend / Salary Not disclosed
Location
Location Noida, Uttar Pradesh
Posted Date
Posted Date Today
data analysis reporting Excel Power BI Tableau SQL Python communication attention to detail teamwork
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Placement Papers and Sample Questions Open Resource β†—
Provides a collection of past placement papers and sample questions that help candidates understand the exam pattern and prepare effectively for Genpact interviews.
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Recruitment Process Insights Open Resource β†—
Offers detailed insights into Genpact’s recruitment process, including interview stages, typical questions, and tips for success.
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Interview Preparation Resources Open Resource β†—
Contains a variety of interview preparation materials, including mock interviews, case studies, and behavioral questions.
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Coding Practice Problems Open Resource β†—
A comprehensive set of coding challenges that help sharpen problem‑solving skills essential for technical interviews.

Bachelor’s degree in Business Analytics, Computer Science, Statistics or Master’s in Data Science. Minimum 60% aggregate in qualifying exam. No backlogs allowed. Entry‑level role; eligibility details to be confirmed on the application page.

1
Round 1: Technical – data analysis and problem‑solving questions
2
Round 2: HR – behavioral and fit interview
3
Round 3: HR – final interview with hiring manager
Genpact is a global professional services firm that specializes in digital transformation, analytics, and technology solutions. With a presence in over 30 countries and a workforce of more than 100,000 employees, Genpact helps leading enterprises accelerate their growth by delivering data‑driven insights and operational excellence. The company’s culture is built on collaboration, continuous learning, and a strong focus on innovation, making it an attractive destination for fresh talent eager to work on real‑world business challenges. The Analyst – Business Data Services 5B role is an entry‑level position designed for recent graduates who are passionate about turning raw data into actionable business insights. As an analyst, you will support data analysis and reporting tasks, learn industry‑standard analytics tools, and assist in preparing and formatting reports for internal and external stakeholders. You will collaborate closely with cross‑functional teams, ensuring the accuracy and completeness of all deliverables while gaining exposure to end‑to‑end analytics workflows. Key Responsibilities: 1. Collect, clean, and validate data from multiple sources. 2. Perform descriptive and exploratory data analysis using Excel, SQL, and Python. 3. Build dashboards and visualizations in Power BI or Tableau. 4. Assist in preparing monthly, quarterly, and ad‑hoc reports. 5. Ensure data accuracy and consistency across all reporting artifacts. 6. Collaborate with business users to understand reporting requirements. 7. Document data sources, assumptions, and methodologies. 8. Participate in process improvement initiatives. 9. Support data governance and quality assurance activities. 10. Communicate findings and insights to stakeholders in a clear and concise manner. Tech Stack: Excel, Power BI, Tableau, SQL, Python, basic knowledge of R. Growth Path: Starting as a junior analyst, you can progress to senior analyst, analytics lead, or data science roles, with opportunities to specialize in industry verticals such as banking, insurance, or retail. Why Join Genpact? The company offers a structured learning environment, mentorship from experienced professionals, and exposure to global clients. With a strong emphasis on work‑life balance and employee well‑being, Genpact provides a platform where fresh talent can grow, innovate, and make a tangible impact on business outcomes.

Genpact β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Genpact Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Genpact and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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 (data analysis, reporting, Excel, Power BI, Tableau, SQL, Python, communication, attention to detail, teamwork) & 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.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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.
Why do you want to join Genpact as a Analyst – Business Data Services 5B?
Preparation Tip: Highlight Genpact's market reputation, recent tech innovations, and how your skills in data analysis directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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