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REQUIREMENT_ID_1344 β€’ 3-DAY_ACTIVE_POLICY

Intela Support - Associate Services Specialist I - Hyderabad

Company
Company Deloitte
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA - 9 LPA
Location
Location Hyderabad, Telangana, India
Posted Date
Posted Date Yesterday
ITIL Incident Management ServiceNow Azure ASP.NET C# Active Directory DPASS MS Office Customer Service Call Etiquette Email & Chat Support Ticketing Tools Problem Solving Communication
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Deloitte Placement Papers Open Resource β†—
Collection of previous placement papers to help you practice the type of questions asked in Deloitte recruitment.
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Deloitte Recruitment Process Experiences Open Resource β†—
First‑hand experiences and tips from candidates who have gone through Deloitte's hiring process.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding and problem‑solving skills required for technical interviews.

Any Bachelor’s degree (Engineering, Computer Science, Information Technology or related fields). Minimum 0‑2 years of relevant experience. Excellent spoken and written English. Proficiency in MS‑Office. Familiarity with ServiceNow, Azure and ITIL concepts is preferred. No backlogs at the time of joining. Candidates from the 2023‑2025 graduating batches are eligible.

1
Round 1: Online Assessment (aptitude & logical reasoning)
2
Round 2: Technical Interview (ITIL, troubleshooting, Microsoft stack)
3
Round 3: HR Interview (behavioral, cultural fit)
Deloitte is one of the world’s leading professional services firms, offering consulting, audit, tax and advisory services to a diverse set of global clients. In India, Deloitte operates through a network of offices that foster a culture of continuous learning, innovation and social impact. The firm invests heavily in its people through the Deloitte University (DU) and the Leadership Center in Hyderabad, providing world‑class training, mentorship and exposure to senior leaders. As a result, Deloitte consistently ranks among the top employers for fresh graduates, known for its collaborative environment, merit‑based growth and strong emphasis on work‑life balance. The role of Associate Services Specialist I in the Global Tax & Legal Support team is a front‑line technical support position for Deloitte’s suite of digital tax applications, including the flagship Global Intela platform. The specialist acts as the first point of contact for internal and external users, handling incidents, service requests and change requests across multiple channels – phone, chat and email. The position operates in a 24x7 rotating shift model, ensuring uninterrupted service for Deloitte’s global client base. Key responsibilities include: 1. Managing end‑to‑end ticket lifecycle in accordance with ITIL Incident, Problem and Change Management processes. 2. Providing voice and non‑voice support while adhering to SLA metrics such as ASA, AHT, C‑SAT and FCR. 3. Triage, troubleshoot and resolve issues on Microsoft‑based applications (ASP.NET, C#, Active Directory, DPASS) and MS Office suite. 4. Provisioning and de‑provisioning user accounts for external client users. 5. Maintaining multiple support mailboxes, logging detailed incident notes and escalating critical issues. 6. Communicating professionally with senior client stakeholders including Partners, Directors and Senior Managers. 7. Recording new defects and collaborating with development teams for resolution. 8. Contributing to knowledge‑base articles and continuous improvement initiatives. 9. Adhering to shift schedules, including weekends and holidays, with occasional travel (

Deloitte β€” AI & Machine Learning 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 🎯
Deloitte Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Deloitte 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 (ITIL, Incident Management, ServiceNow, Azure, ASP.NET, C#, Active Directory, DPASS, MS Office, Customer Service, Call Etiquette, Email & Chat Support, Ticketing Tools, Problem Solving, 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
Deloitte Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Deloitte as a Intela Support - Associate Services Specialist I - Hyderabad?
Preparation Tip: Highlight Deloitte's market reputation, recent tech innovations, and how your skills in ITIL 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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