KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
KashiiUpdatez
REQUIREMENT_ID_51 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst - Tableau Developer

Company
Company Quest Global
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA
Location
Location Hyderabad
Posted Date
Posted Date Today
Tableau SQL Data Visualization Data Modeling Excel Python Analytical Thinking Problem Solving Communication
πŸ“–
Aptitude Practice Questions & Mock Tests Open Resource β†—
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
🎯
Company-Specific Interview Preparation Corner Open Resource β†—
Detailed interview experiences, exam formats, and previous test questions for Quest Global and tech roles.
πŸ“
Technical Placement Cheat Sheets & Question Bank Open Resource β†—
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
πŸ’»
Algorithm, DSA & Live Code Debugger Practice Open Resource β†—
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Graduates (B.Tech/B.E.) in Computer Science, Information Technology, Electronics, or related streams; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs (maximum 2 allowed and must be cleared before joining); Batch year 2025‑2027; Strong analytical aptitude and willingness to learn new tools.

Quest Global is a leading engineering services provider with more than 25 years of experience delivering innovative solutions across aerospace, automotive, energy, and digital domains. The company’s DNA is built around a culture of curiosity, collaboration, and continuous learning, enabling it to tackle complex challenges for global clients. With a presence in over 30 countries and a workforce of more than 15,000 engineers, Quest Global prides itself on fostering an inclusive environment where diverse perspectives drive breakthrough ideas. The organization invests heavily in upskilling its talent, offering structured learning pathways, mentorship programs, and exposure to cutting‑edge technologies, making it an attractive destination for fresh graduates eager to start their professional journey. The role of Data Analyst – Tableau Developer is designed for recent graduates who have a strong analytical mindset and a passion for turning raw data into actionable insights. As a Tableau Developer, you will work closely with cross‑functional teams, including business analysts, product managers, and senior data scientists, to understand reporting requirements and translate them into interactive dashboards and visualizations. You will be responsible for extracting, cleaning, and modeling data from multiple sources, ensuring data quality, and delivering insights that help drive strategic decisions. Key Responsibilities: 1. Design, develop, and maintain interactive Tableau dashboards and reports for various business units. 2. Extract, transform, and load (ETL) data from relational databases, flat files, and APIs using SQL and data preparation tools. 3. Perform data validation and ensure accuracy of visualizations before deployment. 4. Collaborate with stakeholders to gather requirements, understand business logic, and translate them into technical specifications. 5. Optimize dashboard performance by implementing best practices in data modeling and query optimization. 6. Create documentation for data sources, data flow, and dashboard usage guidelines. 7. Provide end‑user training and support to ensure effective adoption of analytical solutions. 8. Stay updated with the latest Tableau features and industry trends to continuously improve reporting capabilities. 9. Participate in code reviews and contribute to the team’s knowledge base. 10. Assist in ad‑hoc data analysis tasks using Excel, Python or R as needed. Tech Stack: Tableau, SQL (MySQL/SQL Server), Excel, Python (pandas), Power BI (basic), Git, JIRA. Growth Path: Starting as a Junior Data Analyst, you can progress to Senior Tableau Developer, Lead Analyst, and eventually move into Data Architecture or Business Intelligence Manager roles, depending on performance and continuous learning. Why Join Quest Global? The company offers a vibrant learning ecosystem, exposure to global projects, and a clear career roadmap. Freshers receive mentorship from seasoned professionals, access to internal training portals, and the chance to work on real‑world data problems that impact Fortune‑500 clients. Competitive compensation, a collaborative culture, and a commitment to employee well‑being make Quest Global an ideal launchpad for a data‑driven career.

Quest Global 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 🎯
Quest Global Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Quest Global 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 (Tableau, SQL, Data Visualization, Data Modeling, Excel, Python, Analytical Thinking, 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
Quest Global 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 Quest Global as a Data Analyst - Tableau Developer?
Preparation Tip: Highlight Quest Global's market reputation, recent tech innovations, and how your skills in Tableau 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.

More Fresh Requirements in Software & Tech

View Category Feed β†—
Quest Global
Data Analyst - Tableau Developer
Apply Apply Now β†—
Chat Chat with Kashii