Data Analyst - Quest

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Tableau, case study) → Round 3: HR Interview

Quest promotes a collaborative and inclusive work culture where employees are encouraged to share ideas and experiment with new technologies. The company offers clear growth pathways, regular upskilling programs, and maintains a healthy work‑life balance with flexible timings.

Quest’s interview process typically consists of an online aptitude test followed by a technical interview that probes SQL queries, data visualization concepts, and real‑world case studies. The difficulty is moderate; candidates should be comfortable with Tableau dashboards and data cleaning techniques. HR round focuses on cultural fit and communication skills. Preparing with mock tests and reviewing past Quest interview questions can boost confidence.

Graduates (B.Tech/B.E., B.Sc., B.Com, BCA, MCA, MBA) in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; Minimum 60% aggregate (or 6.0 CGPA); No active backlogs; Batch 2025 (or graduating in 2025); Freshers only.

Quest is a leading global technology services firm that helps enterprises accelerate digital transformation across industries such as finance, healthcare, and retail. With a strong presence in India, Quest combines deep domain expertise with cutting‑edge analytics platforms to deliver actionable insights for its clients. The company prides itself on a culture of continuous learning, collaboration, and innovation, encouraging employees to experiment with new tools and methodologies. Over the past decade, Quest has expanded its analytics practice, investing heavily in modern data platforms, cloud‑based solutions, and advanced visualization tools, making it an attractive destination for fresh talent looking to build a career in data analytics. As a Data Analyst at Quest, you will be part of a dynamic analytics team that works closely with business stakeholders to translate raw data into meaningful stories. You will be responsible for extracting, cleaning, and modeling data from multiple sources, creating interactive dashboards, and delivering insights that drive strategic decisions. The role offers exposure to a variety of industries, allowing you to develop a versatile skill set while contributing to high‑impact projects. Key Responsibilities: 1. Gather and understand business requirements from functional teams. 2. Extract data from relational databases, APIs, and flat files using SQL and Python. 3. Perform data cleaning, transformation, and validation to ensure data quality. 4. Develop interactive dashboards and reports using Tableau and Power BI. 5. Conduct exploratory data analysis to identify trends, patterns, and anomalies. 6. Build and maintain data models and documentation for repeatable analytics workflows. 7. Collaborate with data engineers to design efficient ETL pipelines. 8. Present findings and recommendations to senior leadership in a clear, visual format. 9. Stay updated with emerging analytics tools and best practices, proposing improvements. 10. Participate in knowledge‑sharing sessions and mentor junior analysts. Tech Stack: SQL, Python (pandas, numpy), Tableau, Power BI, Excel, R (basic), Git, AWS/Azure data services. Growth Path: Starting as a Data Analyst, you can progress to Senior Analyst, Analytics Consultant, and eventually to Analytics Manager or Data Science Lead, depending on performance and skill acquisition. Why Join Quest? You will work in a supportive environment that values curiosity, offers mentorship from seasoned professionals, and provides opportunities to work on real‑world problems across diverse domains. The company’s commitment to employee development, coupled with competitive compensation and a healthy work‑life balance, makes Quest an excellent launchpad for a rewarding analytics career.