A Data Analyst at ITC Infotech plays a pivotal role in bridging the gap between complex data systems and strategic business decisions. As a global technology services and solutions provider, ITC Infotech services clients across diverse industries, including banking, financial services, consumer goods, manufacturing, and travel. In this role, you are not just a report generator; you are a strategic partner who translates raw transactional, operational, and customer data into actionable insights that drive revenue, optimize supply chains, and improve customer experiences.

The impact of a Data Analyst is felt across multiple business units. You will collaborate closely with product managers, data engineers, and business leaders to solve complex, real-world problems. Whether you are building robust data pipelines, designing interactive dashboards in Power BI or Tableau, or writing complex SQL queries to uncover operational inefficiencies, your work directly influences the digital transformation journeys of major global enterprises.

What makes this role exceptionally rewarding is the sheer scale and variety of the data you will handle. ITC Infotech values analytical rigor and structured thinking. Candidates who succeed here are those who can look beyond the numbers, understand the underlying business context, and communicate their findings clearly to both technical and non-technical stakeholders.

To help you prepare effectively, we have compiled representative questions based on real interview experiences at ITC Infotech. These questions span technical skills, scenario-based problem-solving, and behavioral competencies. Use these to understand the patterns of what interviewers evaluate rather than simply memorizing answers.

SQL & Technical Foundations

These questions test your core technical skills, focusing on your ability to retrieve, manipulate, and structure data efficiently.

• Write a SQL query using window functions (like ROW_NUMBER() or DENSE_RANK()) to find the second-highest transaction value for each customer category.
• What is the difference between a LEFT JOIN and an INNER JOIN, and how do they handle NULL values in the joining keys?

Preparing for an interview at ITC Infotech requires a balanced approach. You must demonstrate sharp technical capabilities while proving that you can think like a business consultant. The hiring team looks for candidates who can seamlessly transition from writing code to presenting insights to clients.

Technical & Analytical Competency – You must have a strong grasp of SQL, data visualization tools, and basic programming. Interviewers evaluate your ability to write clean, optimized queries and your understanding of data modeling principles.

Scenario-Based Problem Solving – You will be tested on how you approach ambiguity. Interviewers look for structured thinking, the ability to break down complex problems, and how you formulate hypotheses before diving into the data.

Communication & Stakeholder Management – As a consultant-facing organization, ITC Infotech values strong communication. You must be able to articulate your thought process clearly, ask clarifying questions, and present data-driven narratives persuasively.

Cultural Fit & Adaptability – Operating in a global delivery framework means collaborating with cross-functional teams across different time zones. You should demonstrate resilience, teamwork, a proactive learning mindset, and comfort with fast-paced environments.

The interview process for a Data Analyst at ITC Infotech is highly structured, transparent, and designed to evaluate both your technical prowess and your behavioral alignment. Candidates generally report a positive, well-organized experience with supportive interviewers who guide you through the discussions.

The journey typically begins with an initial HR screening, followed by a rigorous technical evaluation, and concludes with a cultural alignment and team fit discussion. The process is designed to move quickly, with clear communication between stages.

The visual timeline above outlines the typical stages you will progress through during your recruitment journey. Candidates should use this roadmap to pace their preparation, ensuring they focus heavily on coding and business scenarios before the technical rounds, and behavioral preparation prior to the final team fit stage. Note that while the sequence remains consistent, the exact depth of technical rounds may vary slightly based on the seniority of the position and the specific client-facing team you are interviewing for.

To stand out in the ITC Infotech hiring process, you must excel in three core evaluation areas. Each area tests a different facet of your analytical toolkit.

Technical Execution & Coding

This area evaluates your hands-on capability to work with data. You cannot bypass this stage with theoretical knowledge alone; you must demonstrate practical coding skills.

Be ready to go over:

• SQL Mastery – Writing complex queries, understanding performance tuning, indexing, and utilizing aggregate functions.
• Data Visualization – Designing intuitive dashboards, choosing the right chart types, and understanding user experience principles in tools like Power BI or Tableau.
• Data Manipulation – Using Python (Pandas, NumPy) or R to clean, merge, and transform raw data into structured formats.
• Advanced concepts (less common) – Understanding basic ETL (Extract, Transform, Load) pipelines, data warehousing concepts, and cloud data platforms like Snowflake or Azure.

Example scenarios:

• "Write a SQL query to calculate the month-over-month growth rate of sales transactions."
• "How would you design a dashboard to track real-time delivery performance for a logistics client?"

Scenario-Based Problem Solving

This area tests your critical thinking and business acumen. Interviewers want to see how you react when faced with incomplete information or complex business challenges.

Be ready to go over:

• Root Cause Analysis – Systematically diagnosing business anomalies or sudden changes in metrics.
• Metric Formulation – Designing relevant KPIs for specific business domains like retail, manufacturing, or finance.
• Data Quality Assessment – Identifying, handling, and documenting data anomalies, duplicates, and missing values.

Example scenarios:

• "A retail client notices a drop in customer retention. What data points would you analyze to understand why customers are leaving?"
• "How do you prioritize your analytical tasks when three different business units request urgent dashboards simultaneously?"

Behavioral & Cultural Alignment

At ITC Infotech, collaboration and adaptability are key. This final area ensures that you will thrive in their team-oriented, client-first culture.

Be ready to go over:

• Handling Pressure – Managing tight deadlines and shifting project requirements.
• Feedback Integration – Receiving, processing, and acting on constructive feedback from peers and leadership.
• Team Collaboration – Working effectively within cross-functional teams, including developers, product managers, and business stakeholders.

Example scenarios:

• "Describe a time you disagreed with a manager's approach to a project. How did you resolve it?"
• "Tell me about a project where you had to learn a new tool or technology on the fly to meet a deliverable."