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REQUIREMENT_ID_35 β€’ 3-DAY_ACTIVE_POLICY

Finance Associate

Company
Company NTT Data
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή6 LPA
Location
Location Mumbai, Maharashtra, India
Posted Date
Posted Date Today
Invoice validation Telecom Expense Management Data management Report generation Excel MS Office Reconciliation Documentation Attention to detail Communication
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Aptitude Practice for Finance Roles Open Resource β†—
Helps sharpen quantitative and logical reasoning skills essential for invoice validation and data analysis.
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Interview Preparation for Finance Positions Open Resource β†—
Provides insights into common finance interview questions and case studies relevant to TEM roles.
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Career Development Resources Open Resource β†—
Offers guidance on building a career in finance and analytics, useful for setting long‑term goals at NTT DATA.
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Coding and Problem Solving Practice Open Resource β†—
Enhances problem‑solving skills that can be applied to data structuring and report automation tasks.

Bachelor’s Degree in Commerce or MBA (any specialization). Minimum 60% in 10th/12th and 60% in graduation. No backlogs allowed. Fresh graduates from 2025, 2026, or 2027 batches are eligible. Candidates must be proficient in English and have strong analytical skills.

1
Round 1: HR/Recruiter screening
2
Round 2: Technical/Functional interview (invoice validation & data analysis)
3
Round 3: HR interview (cultural fit and motivation)
NTT DATA is a global technology and consulting powerhouse with a market cap of over $30 billion. With a presence in more than 50 countries, it serves 75% of the Fortune Global 100 and is known for its cutting‑edge solutions in digital transformation, AI, and cloud services. The company’s culture is built on innovation, collaboration, and a commitment to sustainability, making it an attractive destination for fresh talent who want to work on high‑impact projects. As a Finance Associate, you will be part of the Telecom Expense Management (TEM) team that handles invoicing and payments for over 200 service providers across 100+ countries. Your day-to-day will involve validating invoices, ensuring accurate and timely payments, reconciling vendor accounts, and maintaining a clean, structured database. You will also generate weekly, monthly, and quarterly reports for senior management and help resolve disputes on invalid charges. Key Responsibilities (8-10 points): 1. Validate invoices from 200+ telecom service providers. 2. Ensure accuracy and timeliness of payments. 3. Reconcile vendor accounts and resolve discrepancies. 4. Maintain and clean the TEM database. 5. Generate weekly, monthly, and quarterly MIS reports. 6. Design reporting formats for clear communication. 7. Assist with ad‑hoc data collection and analysis. 8. Prepare and maintain documentation of processes. 9. Collaborate with cross‑functional teams (Finance, Procurement, IT). 10. Take on additional tasks as directed by business needs. Tech Stack & Tools: MS Excel (advanced), PowerPoint, SQL (basic), TEM software, ERP systems. Growth Path: Starting as a Finance Associate, you can progress to Senior Finance Analyst, Finance Manager, and eventually to Finance Director or Head of Finance within the TEM domain. NTT DATA also offers cross‑functional rotations, leadership development programs, and international exposure. Why Join NTT DATA? The company offers a diverse and inclusive environment, competitive compensation, continuous learning opportunities, and a chance to work with global clients on transformative projects. Its strong focus on employee well‑being and work‑life balance, coupled with a clear career ladder, makes it an ideal launchpad for a fresh graduate. Overall, this role blends finance fundamentals with data analytics, giving you a solid foundation for a career in finance, analytics, or consulting.

NTT Data 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 🎯
NTT Data Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for NTT Data 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 (Invoice validation, Telecom Expense Management, Data management, Report generation, Excel, MS Office, Reconciliation, Documentation, Attention to detail, Communication) & 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
NTT Data 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 NTT Data as a Finance Associate?
Preparation Tip: Highlight NTT Data's market reputation, recent tech innovations, and how your skills in Invoice validation 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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