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REQUIREMENT_ID_1360 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Intel
Type
Opportunity Type Internship
Salary
Stipend / Salary 3-5 LPA
Location
Location Bengaluru
Posted Date
Posted Date Sep 26, 2026
SQL Advanced Excel Power BI Tableau Looker DAX ETL Data Warehousing Data Visualization Business Analytics
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Aptitude Practice Questions Open Resource β†—
Curated questions to sharpen quantitative and logical reasoning skills essential for the first interview round.
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Technical Interview Preparation Guide Open Resource β†—
Comprehensive resource covering SQL, data modeling, and BI tool concepts frequently asked in data analyst interviews.
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Interview Experience Repository Open Resource β†—
Collection of real candidate experiences and tips to help you navigate the interview process confidently.
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Problem‑Solving Practice Set Open Resource β†—
Platform offering coding and algorithm challenges to improve analytical thinking and data manipulation abilities.

Graduates (B.Tech, B.Sc, B.Com, MCA, or equivalent) from any stream with a minimum of 60% aggregate. Freshers and candidates with up to 2 years of relevant experience are eligible. No active backlogs at the time of joining. Final year students can apply if they can join immediately after graduation.

1
Round 1: Aptitude & Logical Reasoning
2
Round 2: Technical Interview (SQL, Excel, BI tools)
3
Round 3: HR Interview (cultural fit and career aspirations)
IntelliCredence is a fast‑growing analytics consultancy based in Bengaluru that helps enterprises turn raw data into strategic decisions. Founded by a team of seasoned data professionals, the company combines deep domain knowledge with cutting‑edge technology to deliver end‑to‑end solutions for finance, retail, and logistics sectors. With a culture that encourages curiosity, continuous learning, and cross‑functional collaboration, IntelliCredence has quickly become a preferred partner for businesses looking to build data‑driven capabilities. The Data Analyst role at IntelliCredence is designed for fresh graduates and early‑career professionals who are eager to work with large, complex datasets and translate insights into actionable business recommendations. As a member of the analytics team, you will be directly involved in building interactive dashboards, automating recurring reports, and supporting various business units with KPI tracking and performance analysis. The position offers exposure to a wide range of tools and methodologies, making it an ideal launchpad for a career in data science or business intelligence. Key Responsibilities: 1. Extract, clean, and transform data from multiple sources using SQL and ETL processes. 2. Develop and maintain interactive dashboards in Power BI, Tableau, and Looker. 3. Automate routine reporting workflows to improve efficiency and accuracy. 4. Collaborate with stakeholders to understand reporting requirements and translate them into technical specifications. 5. Conduct ad‑hoc analysis to uncover trends, anomalies, and growth opportunities. 6. Prepare and present data‑driven insights to senior management and functional teams. 7. Ensure data quality and consistency across all reporting artifacts. 8. Document data models, data dictionaries, and reporting processes. 9. Stay updated with emerging data visualization techniques and best practices. 10. Participate in continuous improvement initiatives for the analytics function. Tech Stack: SQL, Advanced Excel, Power BI, Tableau, Looker, DAX, ETL tools, data warehousing concepts, and basic scripting for automation. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Data Engineer or Business Intelligence Manager, depending on interests and skill development. Why Join IntelliCredence? The company offers a vibrant environment where learning is encouraged through mentorship, internal workshops, and exposure to real‑world projects. Employees enjoy flexible working hours, a supportive team culture, and clear career progression pathways. If you are passionate about turning data into strategic value, IntelliCredence provides the platform to accelerate your growth.

Intel 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 🎯
Intel Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Intel 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 (SQL, Advanced Excel, Power BI, Tableau, Looker, DAX, ETL, Data Warehousing, Data Visualization, Business Analytics) & 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
Intel 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 Intel as a Data Analyst?
Preparation Tip: Highlight Intel's market reputation, recent tech innovations, and how your skills in SQL 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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