Data Analyst

The Qualcomm interview process typically starts with an online aptitude test, followed by a technical interview that probes Excel, data manipulation, and case‑study abilities. A final HR round assesses cultural fit and communication skills. Overall difficulty is moderate; candidates should focus on real‑world data scenarios, Tableau basics, and clear articulation of analytical thinking.

Qualcomm India fosters a performance‑driven yet inclusive culture where employees are encouraged to experiment and learn continuously. The firm offers clear growth trajectories, regular skill‑upgradation programs, and a balanced work‑life environment with flexible timings for global collaboration. Employees often cite strong mentorship and exposure to cutting‑edge technology as key motivators.

Master’s degree in Business Management, Operations, Analytics, Statistics, Economics or a related field; minimum 60% aggregate (or CGPA 6.0/10); final year students of 2025, 2026 or 2027 batches are welcome; 0‑1 year of relevant experience in internal ticketing or business operations; no active backlogs at the time of joining; strong command of English (written & verbal).

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview focusing on Excel, data analysis concepts, and case studies → Round 3: HR interview covering fit, communication skills, and cultural alignment

Qualcomm India Private Limited is a leading global semiconductor and telecommunications company that designs, manufactures, and markets cutting‑edge wireless technologies. With a strong focus on research and development, Qualcomm India plays a pivotal role in driving innovation for 5G, AI, and IoT solutions across multiple industry verticals. The Bangalore office houses a vibrant mix of engineers, analysts, and business professionals who collaborate to deliver products that power smartphones, connected cars, and smart cities worldwide. The company’s culture emphasizes continuous learning, cross‑functional teamwork, and a commitment to delivering high‑impact solutions for its customers. The Data Analyst role is an entry‑level position aimed at fresh graduates who are eager to translate raw data into actionable business insights. As a Data Analyst, you will work closely with internal ticketing teams, business operations, and senior stakeholders to monitor performance metrics, identify trends, and support decision‑making processes. You will be responsible for building and maintaining dashboards, preparing analytical reports, and ensuring data quality across various business functions. This role offers exposure to a fast‑paced environment where analytical rigor meets real‑world business challenges. Key Responsibilities: 1. Collect, clean, and validate data from internal ticketing systems and CRM platforms. 2. Develop and maintain advanced Excel models and dashboards to track operational KPIs. 3. Create visualizations using Tableau or similar tools to present findings to senior management. 4. Conduct ad‑hoc analysis to support business operations, process improvements, and strategic initiatives. 5. Collaborate with cross‑functional teams to define data requirements and ensure data integrity. 6. Prepare concise reports and presentations that communicate insights clearly to both technical and non‑technical audiences. 7. Participate in evening calls with global headquarters for review and transition discussions. 8. Assist in automating repetitive reporting tasks using scripting or macro development. 9. Monitor and troubleshoot data discrepancies, escalating issues when necessary. 10. Continuously upskill on emerging analytics tools, CRM systems, and data visualization techniques. Tech Stack: Advanced Excel, Tableau, Salesforce (preferred), SQL basics, Python/R for data manipulation (nice to have), Power BI, and familiarity with data warehousing concepts. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Business Intelligence Specialist, or Analytics Manager within 2‑3 years, with opportunities to move into product analytics, data engineering, or strategic planning roles. Why Join Qualcomm: The company offers a competitive salary package (10‑15 LPA), exposure to world‑class technologies, and a collaborative environment that nurtures fresh talent. Employees benefit from structured learning programs, mentorship from industry veterans, and the chance to work on projects that have a global impact. Flexible working hours, evening call allowances, and a supportive culture make Qualcomm an attractive launchpad for a data‑driven career.