Data Analyst

Wipro’s interview process typically starts with an online aptitude test focusing on logical reasoning and basic SQL. The technical round dives deep into SQL query optimisation, ETL concepts, PLX scripting and a case‑study based data analysis problem. The final HR round assesses cultural fit, communication skills and career aspirations. Preparation should focus on complex SQL queries, data pipeline design and clear articulation of analytical insights.

Wipro promotes a collaborative and inclusive work environment where learning is continuous and employees are encouraged to innovate. The company offers clear career ladders, regular upskilling programs, and a balanced work‑life approach with flexible timings and remote‑work options where applicable.

Any graduate (Engineering / Computer Science / Mathematics / Statistics preferred). Minimum 60% aggregate (or CGPA 6.0/10). 4–6 years of relevant experience in backend data engineering or analytics. No active backlogs. Strong communication skills and ability to work in a structured, process‑driven environment.

Round 1: Online assessment (aptitude + basic SQL) → Round 2: Technical interview (SQL, ETL design, PLX, case study) → Round 3: HR interview (fit, motivation, compensation discussion)

Wipro Limited is one of India’s largest technology services and consulting firms, with a heritage of more than three decades in delivering end‑to‑end digital transformation solutions. Operating in over 65 countries and employing more than 230,000 professionals, Wipro helps enterprises across industries modernise their operations, adopt cloud, harness data, and build sustainable business models. The company’s culture is built around purpose, inclusivity and continuous reinvention, encouraging employees to experiment, learn and grow. The Data Analyst role in Gurugram sits within the Data Analytics family and reports to the Assistant Manager level. It is a core backend data engineering and analytics position that focuses on designing, building, and maintaining robust data pipelines, transforming raw data into analytical datasets, and delivering actionable insights through dashboards. The role works closely with cross‑functional stakeholders, translating business questions into scalable data solutions that drive decision‑making. Key responsibilities include: 1. Design, develop, and maintain SQL‑based ETL pipelines that ingest, cleanse, and aggregate large volumes of structured data. 2. Write advanced Google‑SQL/BigQuery queries involving complex joins, CTEs, window functions, and performance tuning. 3. Create and optimise PLX scripts for automated backend processing and data orchestration. 4. Build and maintain PLX dashboards that provide real‑time operational visibility. 5. Develop Looker Studio reports and visualisations aligned with business metrics. 6. Collaborate with product, operations and finance teams to understand data requirements and deliver reliable datasets. 7. Perform deep‑dive analysis to uncover trends, anomalies and growth opportunities. 8. Ensure data quality, governance and documentation across all pipelines. 9. Participate in code reviews, data modelling discussions and continuous improvement initiatives. 10. Mentor junior analysts on best practices in SQL, ETL design and dashboarding. Technical stack: Google BigQuery, Advanced SQL, PLX scripting, Looker Studio, Google Workspace (Docs, Sheets, Slides), optional Python/JavaScript/VBA for automation, and familiarity with data modelling concepts. Growth path: Successful analysts can progress to Senior Data Analyst, Data Engineering Lead, or Manager – Data Analytics, with exposure to strategic projects, client‑facing responsibilities and opportunities to specialise in emerging domains such as AI‑driven analytics. Why join Wipro? The company offers a stable platform backed by global clients, a structured learning ecosystem (Wipro Learning Academy), and a culture that rewards innovation. Employees benefit from flexible work arrangements, competitive compensation, and a clear roadmap for career advancement, making it an ideal place for data professionals eager to make an impact at scale.