IQVIA- Data Analyst
IQVIA conducts a four-stage recruitment process starting with an initial resume screening, followed by an online aptitude assessment centered on SQL fundamentals and core data concepts. This leads into a technical evaluation assessing SQL query crafting, Python scripting, and practical problem-solving capabilities, concluding with an HR interview evaluating interpersonal skills and organizational fit. The evaluation difficulty is moderate for early-career professionals, emphasizing fundamental coding logic and structured reasoning. Candidates are advised to refine clear SQL syntax, review data engineering workflows, and articulate effective teamwork scenarios.
IQVIA maintains an inclusive, team-oriented work environment that emphasizes continuous professional development through structured training initiatives and peer guidance. Team members experience supportive work-life flexibility, incorporating dynamic shift structures for international client support, alongside transparent career paths that reward strong performance and technical skill acquisition.
Bachelor’s degree in Computer Science, Information Technology, Electronics, or related engineering streams; minimum 60% aggregate score (or 6.0/10 CGPA); zero active backlogs upon joining; open to recent graduates across batch years; strong English communication skills; readiness to support US EST operational shifts; foundational knowledge of JavaScript and client-server system architectures.
Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & concepts) → Round 3: HR Interview
The Data Analyst position at IQVIA’s Bangalore facility is designed for recent graduates keen on leveraging data analytics to address real-world healthcare challenges. As a junior analytics professional, you will support international stakeholders working within US EST business hours, assisting in the extraction, transformation, and visualization of key datasets driving decisions across clinical trials, commercial strategy, and safety monitoring. The role provides hands-on practice with enterprise-grade platforms such as MS SQL, Databricks, Snowflake, and major cloud environments (AWS/Azure), alongside developing core scripting skills in Python and JavaScript. Key responsibilities include: authoring and optimizing relational SQL queries and stored procedures; executing data extraction, data cleaning, and validation workflows; building intuitive operational dashboards and analytical reports; aiding in database query performance tuning; partnering with senior analysts to translate client needs into robust technical requirements; delivering shift-aligned support for international client engagements; documenting operational procedures and data architecture workflows; diagnosing and resolving data discrepancies promptly; actively acquiring knowledge on emerging data tools and analytics standards; and contributing proactive ideas toward internal process optimization. The core technology stack centers around relational databases (MS SQL, Snowflake), big data analytics platforms (Databricks), cloud infrastructure (Azure/AWS), and modern scripting languages (Python, JavaScript). IQVIA actively supports technical certifications—valuing official SQL accreditation—and offers dedicated internal learning tracks to help entry-level hires quickly adapt. Career progression follows a structured trajectory: Junior Data Analyst → Analyst → Senior Analyst → Lead Analyst → Analytics Manager, driven by periodic performance reviews and dedicated mentorship. Joining IQVIA grants you the opportunity to work on high-impact healthcare initiatives while building a strong groundwork for long-term growth in data analytics.
🔔 Apply before 02 Oct 2026 — 15 days remaining