Data Analyst – Tableau Developer

Candidates typically face a three‑stage process: an online aptitude test covering quantitative, logical, and verbal sections, followed by a technical interview that dives deep into SQL queries, Tableau dashboard design, and basic Python data manipulation. The final HR round assesses cultural fit, communication skills, and motivation. Interviewers focus on practical problem‑solving ability, so practicing real‑world data scenarios and clear articulation of solutions is essential.

Quest Global promotes a collaborative and innovation‑driven work culture where employees are encouraged to experiment with new technologies. The company offers structured career growth programs, regular skill‑upgradation workshops, and maintains a healthy work‑life balance with flexible timings. Employees often cite the exposure to global projects and supportive leadership as key strengths.

Graduates (B.Tech/B.E., B.Sc., BCA, MCA, M.Tech) in Computer Science, Information Technology, Electronics, or related streams. Minimum 60% aggregate (or CGPA 6.0/10). Freshers from 2024‑2026 batches are preferred. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn new tools.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Tableau, Data Modeling, Python basics) → Round 3: HR Interview

Quest Global is a leading engineering services and digital transformation firm with a presence in more than 30 countries. Headquartered in India, the company serves a diverse portfolio of clients ranging from aerospace and automotive to energy and consumer electronics. Known for its focus on innovation, Quest Global invests heavily in cutting‑edge technologies and encourages a culture of continuous learning. Employees benefit from exposure to global projects, mentorship from industry veterans, and a collaborative environment that values both technical excellence and personal growth. In recent years, Quest Global has expanded its Software & Digital practice, helping clients turn massive data assets into actionable insights. The firm’s data analytics wing works with advanced visualization tools, cloud‑based data warehouses, and AI‑driven analytics to deliver business intelligence solutions that drive strategic decisions. As part of this expansion, the Hyderabad office is looking for fresh talent to join as Data Analyst – Tableau Developer, a role that sits at the intersection of data engineering, analytics, and visualization. **Role Summary** The Data Analyst – Tableau Developer will be responsible for designing, building, and maintaining interactive Tableau dashboards that translate complex data sets into clear, business‑focused visual stories. Working closely with functional owners, the candidate will gather requirements, model data, write optimized SQL queries, and implement ETL/ELT pipelines. The role also offers opportunities to experiment with Python‑based analytics and emerging Generative AI techniques to enrich reporting capabilities. **Key Responsibilities** 1. Gather and analyze business requirements to design intuitive Tableau dashboards. 2. Develop robust data models and write complex SQL queries for data extraction, validation, and reporting. 3. Implement ETL/ELT processes using tools such as DBT, ensuring data quality and consistency across the pipeline. 4. Optimize dashboard performance by applying best practices in data blending, extracts, and calculation logic. 5. Conduct data profiling, cleansing, and transformation to support accurate analytics. 6. Collaborate with data engineers and architects to integrate dashboards with data warehouses and cloud platforms. 7. Provide ongoing support, troubleshooting, and enhancements for existing reporting solutions. 8. Create documentation and user guides for dashboard consumption and data lineage. 9. Stay updated with Tableau releases, Python libraries, and AI trends to propose innovative analytics solutions. 10. Participate in knowledge‑sharing sessions and mentor junior team members. **Tech Stack** Tableau, SQL (MySQL/SQL Server/Oracle), DBT, ETL tools, Data Warehousing concepts, Relational Databases, Python (pandas, numpy), Generative AI/LLM basics, Git for version control. **Growth Path** A fresh graduate can start as a Junior Data Analyst, progress to Data Analyst, then Senior Analyst, followed by Lead Analyst or Data Engineer. With demonstrated expertise in AI‑driven analytics, the path can further extend to Data Architect or Analytics Manager, offering both technical and managerial career trajectories. **Why Join Quest Global** - Work on real‑world, large‑scale data projects for global Fortune‑500 clients. - Access to continuous learning programs, certifications, and mentorship from seasoned professionals. - Competitive compensation, performance‑linked bonuses, and a supportive work‑life balance culture. - Opportunity to experiment with emerging AI technologies while strengthening core BI skills. Overall, this role offers a balanced mix of hands‑on technical work, strategic business exposure, and a clear roadmap for professional advancement within a reputable multinational organization.