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REQUIREMENT_ID_1733 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst - Tableau developer

Company
Company Quest Global
Type
Opportunity Type Internship
Salary
Stipend / Salary 8 LPA
Location
Location Hyderabad, Telangana, India
Posted Date
Posted Date Yesterday
Tableau SQL ETL DBT Python Data Modeling Data Warehousing Data Analysis Generative AI LLM Integration Performance Optimization Troubleshooting
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Data Analysis Fundamentals Open Resource β†—
Essential concepts and techniques for data analysis, useful for understanding data modeling and SQL queries required for the role.
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Interview Preparation Basics Open Resource β†—
Core interview topics and practice questions to build confidence for technical rounds.
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Coding Practice Resources Open Resource β†—
A collection of coding problems to sharpen algorithmic thinking and problem‑solving skills.
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Algorithmic Challenges Open Resource β†—
A set of programming challenges to improve logic and efficiency, beneficial for technical interviews.

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field with a minimum of 60% marks. Candidates should have a strong foundation in SQL, data modeling, and analytics. No backlogs are allowed. Freshers are welcome if they meet the academic criteria and demonstrate relevant project or internship experience.

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Round 1: Technical interview – Tableau & SQL
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Round 2: Technical interview – ETL/DBT & Python
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Round 3: HR interview
Quest Global is a global engineering services firm that has been delivering innovative solutions across a wide spectrum of industries such as Aerospace & Defence, Automotive, Energy, Hi‑Tech, MedTech & Healthcare, Rail, and Semiconductors. With a presence in more than 25 countries, the company leverages a blend of cutting‑edge technology and deep domain expertise to solve complex engineering challenges for its clients. The culture at Quest Global is built around curiosity, collaboration, and a relentless drive to push boundaries, encouraging engineers to question assumptions and bring fresh perspectives to every project. The Data Analyst – Tableau Developer role is a full‑time position based in Hyderabad. As a key member of the analytics team, you will design, develop, and maintain interactive Tableau dashboards that provide actionable insights to business stakeholders. You will work closely with data engineers, product managers, and business analysts to understand requirements, transform raw data into clean, structured datasets, and build robust data models that support real‑time reporting. Key responsibilities include: 1. Developing and optimizing Tableau dashboards, ensuring performance and scalability. 2. Writing complex SQL queries to extract, validate, and transform large datasets. 3. Designing ETL/ELT pipelines using tools such as DBT to automate data preparation. 4. Building relational data models and implementing data warehousing concepts. 5. Integrating Python scripts for advanced analytics, including generative AI and LLM‑based solutions. 6. Troubleshooting data quality issues and resolving performance bottlenecks. 7. Collaborating with cross‑functional teams to translate business requirements into technical specifications. 8. Documenting data flows, dashboard logic, and best practices. 9. Staying updated with the latest Tableau features and industry trends. 10. Mentoring junior analysts and sharing knowledge across the team. Tech stack: Tableau, SQL (PostgreSQL/MySQL), DBT, Python, Data Warehousing, ETL/ELT, Generative AI, LLM integration. Growth path: Starting as a Data Analyst, you can progress to Senior Analyst, Lead Analyst, or move into specialized roles such as Data Engineer, Data Scientist, or Analytics Manager, depending on your interests and performance. Why join Quest Global? The company offers a collaborative environment that values diversity of thought, provides ample learning opportunities through internal training and external certifications, and rewards innovation with competitive compensation and comprehensive benefits. Employees enjoy a healthy work‑life balance, wellness programs, and a culture that celebrates achievements at every level.

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, ETL, DBT, Python, Data Modeling, Data Warehousing, Data Analysis, Generative AI, LLM Integration, Performance Optimization, Troubleshooting) & 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.

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