Data Analyst - Tableau developer

Quest Global’s interview process typically consists of an online aptitude test followed by a technical interview that dives deep into Tableau dashboard development, SQL query writing, and basic Python scripting. The final HR round assesses cultural fit and communication skills. Candidates should be prepared with real‑world project examples and clear explanations of their problem‑solving approach.

Quest Global promotes an inclusive, merit‑based culture where employees are encouraged to voice ideas and take ownership of projects. The organization offers clear growth pathways, mentorship programs, and a healthy work‑life balance with flexible timings for eligible roles.

Graduates (B.Tech/B.E./MCA) in Computer Science, Information Technology, Electronics, or related streams. Minimum 60% aggregate (or CGPA equivalent). No active backlogs at the time of joining. Freshers from the 2024/2025 batch are preferred. Candidates must have strong analytical skills and a passion for data visualization.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview covering Tableau, SQL, ETL concepts and Python basics → Round 3: HR interview focusing on cultural fit and career aspirations

Quest Global is a leading engineering services provider with more than 25 years of experience delivering innovative solutions across aerospace, automotive, energy, and high‑tech domains. With a presence in over 20 countries, the company employs more than 23,000 professionals who collaborate across cultures and languages to solve complex engineering challenges. Quest Global’s core philosophy revolves around doing things differently – fostering an environment where curiosity, humility, and ambition are encouraged, and where diverse perspectives are seen as a catalyst for breakthrough ideas. The Hyderabad office serves as a strategic hub for the company’s digital transformation initiatives, especially in data analytics and business intelligence. As a Data Analyst – Tableau developer, you will be part of a dynamic team that converts raw data into actionable insights for internal stakeholders and global clients. The role blends strong analytical abilities with hands‑on expertise in Tableau, SQL, and modern data engineering tools, enabling you to build visualizations that drive strategic decisions. **Key Responsibilities** 1. Design, develop, and maintain interactive Tableau dashboards that meet business requirements. 2. Perform data modeling, create complex calculated fields, and optimize workbook performance. 3. Translate functional specifications into robust SQL queries for data validation and reporting. 4. Conduct ETL/ELT processes, including data extraction, transformation, and loading using tools such as DBT. 5. Work with relational databases and data‑warehousing concepts to ensure data integrity and scalability. 6. Collaborate with data engineers and business analysts to understand data sources and define metrics. 7. Implement Python scripts for AI‑driven analytics, including generative AI and LLM integrations where applicable. 8. Troubleshoot dashboard issues, conduct root‑cause analysis, and implement performance enhancements. 9. Document data pipelines, dashboard logic, and best practices for knowledge sharing. 10. Stay updated with the latest Tableau features, data‑visualization trends, and emerging AI technologies. **Tech Stack**: Tableau, SQL (MySQL, PostgreSQL, MS‑SQL), DBT, Python (pandas, numpy, generative AI libraries), Data Warehousing (Snowflake, Redshift), Git, Agile Scrum. **Growth Path**: Starting as a junior analyst, you can progress to Senior Data Analyst, then to Analytics Lead or Data Engineering Manager, with opportunities to specialize in AI‑augmented analytics or enterprise BI strategy. Quest Global encourages continuous learning through internal workshops, certifications, and cross‑functional project exposure. **Why Join Quest Global?** The company offers a collaborative culture that values each employee’s input, a clear career ladder, exposure to global projects, and the chance to work with cutting‑edge technologies. Freshers receive mentorship from seasoned engineers, competitive compensation, and a supportive environment that balances challenging work with personal growth.