Data Analyst - Tableau Developer

Candidates typically face a timed online aptitude test followed by a technical interview focusing on Tableau dashboard creation, SQL query writing, and ETL concepts. The HR round assesses cultural fit and communication skills. Preparation should include hands‑on Tableau projects, SQL practice, and reviewing data‑engineering fundamentals.

Quest Global promotes a collaborative and innovative work environment where engineers are empowered to experiment and grow. The company emphasizes work‑life balance, continuous learning, and clear career progression, making it an attractive place for fresh talent.

B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics, or related fields; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2025; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude Test → Round 2: Technical Interview (Tableau, SQL, Python, ETL concepts) → Round 3: HR Interview

Quest Global is a leading engineering services provider with more than 25 years of experience across aerospace, automotive, energy, and digital domains. With a presence in over 20 countries and a workforce that speaks 51 languages, the company prides itself on solving complex problems through a blend of technology, industry expertise, and a diverse talent pool. Its culture is built around intentional collaboration, continuous learning, and a shared purpose to make the world a better place. Employees, known as Questians, are encouraged to bring their unique perspectives, fostering an environment where innovation thrives and every voice is heard. The Data Analyst – Tableau Developer role is a full‑time position based in Hyderabad, focused on turning raw data into actionable insights for internal and client projects. The incumbent will work closely with business stakeholders to understand reporting needs, design robust data models, and deliver interactive Tableau dashboards that drive decision‑making. This role sits at the intersection of data engineering and analytics, offering exposure to end‑to‑end data pipelines, advanced SQL querying, and emerging AI‑driven analytics. Key Responsibilities: 1. Design, develop, and maintain Tableau dashboards with complex calculations and performance tuning. 2. Gather and translate business requirements into technical specifications. 3. Write and optimise SQL queries for data validation, extraction, and reporting. 4. Perform ETL/ELT operations, data cleaning, and transformation using tools like DBT. 5. Implement data warehousing concepts, build relational models, and manage large datasets. 6. Develop Python scripts for generative AI and LLM integrations to enhance analytical capabilities. 7. Conduct root‑cause analysis of data issues and provide timely resolutions. 8. Collaborate with cross‑functional teams to ensure data quality and governance. 9. Document data flows, dashboard logic, and best practices. 10. Stay updated with the latest Tableau features, AI trends, and industry best practices. Tech Stack: Tableau, SQL, DBT, Python (with Generative AI/LLM libraries), Relational Databases (e.g., MySQL, PostgreSQL), Data Warehousing tools, Git for version control. Growth Path: Starting as a junior analyst, high performers can progress to Senior Tableau Developer, Analytics Lead, or Data Solutions Architect, with opportunities to work on global projects and lead multi‑disciplinary teams. Why Join Quest Global? The company offers a vibrant, inclusive culture, exposure to cutting‑edge technologies, and a clear career roadmap. Fresh graduates gain hands‑on experience with real‑world data challenges, mentorship from seasoned engineers, and the chance to contribute to projects that impact multiple industries worldwide.