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REQUIREMENT_ID_1431 β€’ 3-DAY_ACTIVE_POLICY

Analyst - Master Data Management

Company
Company HCLTech
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6.5 LPA
Location
Location Bangalore, Karnataka
Posted Date
Posted Date Sep 30, 2026
Master Data Management MS Excel PowerPoint Data Analysis Business Process Documentation Communication Analytical Thinking
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online assessment by covering quantitative, logical, and verbal topics commonly asked at HCL.
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Interview Preparation Guides Open Resource β†—
Provides a collection of interview experiences and question banks that are relevant for analyst roles at HCL.
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Comprehensive Interview Resources Open Resource β†—
Offers curated notes, mock interviews, and tips to boost confidence for HCL's technical and HR rounds.
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Problem‑Solving Practice Sets Open Resource β†—
Enhances analytical thinking and coding basics, useful for technical screening at HCL.

Graduates (B.Tech/B.E., B.Sc., B.Com, or equivalent) from any branch with a minimum of 60% aggregate (or 6.0 CGPA). Final year students of the 2025 or 2026 batch are eligible. No active backlogs at the time of joining. Strong command of English (both written and verbal) is required.

1
Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal)
2
Round 2: Technical Interview (MDM concepts, Excel proficiency, problem‑solving)
3
Round 3: HR Interview (fitment, communication, career goals)
HCL Technologies is a global IT services giant headquartered in Noida, India, with a presence in over 50 countries. The company offers a wide spectrum of services ranging from software development, infrastructure management, to digital transformation and consulting. Known for its "Employees First" philosophy, HCL invests heavily in skill development, encourages innovation, and provides a collaborative environment that nurtures fresh talent. Over the years, HCL has built a reputation for delivering end‑to‑end solutions for Fortune 500 clients across banking, healthcare, retail, and manufacturing, making it a preferred destination for ambitious graduates. The role of Analyst – Master Data Management (MDM) is a foundational position within HCL’s data governance practice. As an MDM Analyst, you will be responsible for creating, updating, and maintaining master data records for customers, products, pricing, and vendors. You will work closely with business analysts, data stewards, and IT teams to ensure data accuracy, consistency, and compliance with corporate standards. The position offers exposure to real‑world data challenges, enabling you to develop a strong analytical mindset and a solid understanding of data lifecycle management. Key Responsibilities: 1. Maintain and update master data records using MDM tools and advanced MS Excel functions, ensuring data integrity across all domains. 2. Conduct routine analysis of data management processes to spot inconsistencies and suggest corrective actions. 3. Generate detailed reports and dashboards in Excel and PowerPoint to monitor data health and process efficiency. 4. Document business requirements and workflow changes, translating them into clear specifications for the development team. 5. Assist in the rollout of approved process enhancements, coordinating with cross‑functional teams to ensure smooth adoption. 6. Perform data validation and cleansing activities to eliminate duplicate or erroneous entries. 7. Support data governance initiatives by participating in data quality audits and compliance checks. 8. Collaborate with senior analysts to develop standard operating procedures for master data handling. 9. Provide training and guidance to junior team members on MDM best practices. 10. Stay updated with emerging MDM trends and tools, recommending improvements where applicable. Tech Stack: Master Data Management platforms (basic exposure), MS Excel (pivot tables, VLOOKUP, macros), MS PowerPoint, basic SQL for data extraction, and familiarity with data visualization tools. Growth Path: Starting as an Analyst, you can progress to Senior Analyst, MDM Lead, Data Governance Manager, and eventually to roles such as Data Architect or Solution Manager, depending on performance and additional certifications. Why Join HCL? HCL offers a structured learning environment, mentorship from industry experts, and a clear career ladder. Freshers get the chance to work on live client projects early in their career, gaining hands‑on experience that accelerates professional growth. The company’s emphasis on work‑life balance, flexible work arrangements, and a vibrant campus culture makes it an attractive choice for young talent.

HCLTech 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 🎯
HCLTech Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for HCLTech 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 (Master Data Management, MS Excel, PowerPoint, Data Analysis, Business Process Documentation, Communication, Analytical Thinking) & 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
HCLTech 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 HCLTech as a Analyst - Master Data Management?
Preparation Tip: Highlight HCLTech's market reputation, recent tech innovations, and how your skills in Master Data Management 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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