Analyst at IQVIA
IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes worldwide.
Role Overview
About IQVIA
IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes worldwide.
Job Overview
This entry-level, client-facing role supports organizations by delivering tailored solutions that improve efficiency and decision-making through consulting and market research.
It involves designing and executing primary research to uncover customer and patient behaviors, integrating original and internal data to generate actionable insights using statistical and behavioral science methods.
Eligibility Criteria & Qualifications
- Bachelor's Degree is required.
- Entry-level candidates and freshers eligible to apply.
- Strong communication and client-facing skills.
Key Responsibilities
Data Preparation & Quality
- •Contribute data analysis and research as a supporting member of a project team for varying consulting projects.
- •Integrate original and internal data to generate actionable insights using statistical and behavioral science methods.
Analysis, Reporting & Visualization
- •Conduct limited or supervised contact with mid-career professionals at client sites and fields.
Insights & Stakeholder Communication
- •Design and execute primary research to uncover customer and patient behaviors.
Required Skills & Technologies
How to Apply
Submit your application directly through IQVIA's verified careers portal.
Review the published role requirements, degree qualifications, and eligible graduation batches above.
Ensure your resume highlights relevant projects and contains working GitHub repository links.
Click the official application button below to open IQVIA's direct careers page.
Complete and submit your application directly on the employer's portal.
You will be directed to IQVIA's official careers portal. Career Insights does not process applications or charge any candidate fees.
The specifications above are verified official details published by IQVIA. Candidates should verify all final terms, deadlines, and eligibility directly on IQVIA's official careers portal before submitting an application.
Recommended Preparation
Independent editorial guidance based on the published role information.
What to Prepare
Evaluate your data analysis and quantitative background against published criteria and hands-on preparation focus areas.
B.E / B.Tech / MCA / B.Sc
Hiring evaluations prioritize demonstrable problem-solving, domain competence, and practical project evidence over specific degree pedigree.
Proficiency in relational databases, SQL queries, and data extraction.
Master complex SQL operations: Window functions (ROW_NUMBER, RANK, DENSE_RANK), CTEs, multi-table JOINs, and query execution plan analysis.
Data cleaning, transformation, and reporting dashboards.
Be prepared to clean messy datasets using Python (Pandas/NumPy) or Excel, identify statistical outliers, and explain KPI metric definitions.
Basic understanding of data storage, serialization, and persistence.
Be prepared to explain relational normalization (1NF-3NF), indexing trade-offs, foreign key constraints, and transactional consistency.
Familiarity with Git branching, pull requests, and collaborative repository management.
Review Git branch workflows, pull request code reviews, and maintain clean commit history with descriptive messages.
Onsite (Bengaluru, India) operational structure.
Highlight proactive written communication, technical documentation discipline, and the ability to troubleshoot errors systematically before escalating.
Technical Topics
Depending on the hiring team’s evaluation style, technical assessments for this role typically cover these core areas:
Topic 1: Advanced SQL & Data Extraction
- Window functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD)
- Common Table Expressions (CTEs), multi-table JOINs, and subqueries
- Query optimization, index utilization, and execution plan review
Topic 2: Data Cleaning, Wrangling & Validation
- Handling missing values, duplicated records, and date/time conversions
- Using Python (Pandas/NumPy) or SQL for data hygiene and transformation
- Detecting statistical outliers and verifying data distribution integrity
Topic 3: Metric Definition, KPI Modeling & Dashboard Architecture
- Designing intuitive business dashboards (Power BI, Tableau, Looker)
- Formulating unambiguous metric definitions (retention, churn, cohort LTV)
- Choosing appropriate data visualizations for business decision-making
Topic 4: Business Problem Solving with Data & Hypothesis Testing
- Formulating testable hypotheses from operational questions
- Segmenting customer or operational cohorts to isolate drivers
- Translating statistical patterns into concrete operational recommendations
Topic 5: Cross-Functional Storytelling & Analytical Communication
- Explaining data nuances and limitations to non-technical team members
- Answering questions about statistical confidence and data provenance
- Collaborative iteration with product managers and engineers
* Note: These are independent Career Insights editorial recommendations to help candidates structure their study plan. They do not represent guaranteed interview stages or official hiring mandates from IQVIA.
Practical Project
Turn the listed data skills into a portfolio exercise using a realistic dataset, analysis workflow, and decision-focused output.
Customer Cohort Retention & Churn Analyzer
A SQL-driven analytics project that calculates monthly cohort retention, customer lifetime value, and churn indicators from raw transaction tables.
Advanced SQL (Window Functions, CTEs), Data Modeling, Business Intelligence Visualization, Statistical Analysis
Include database schema diagrams, reproducible sample data generation scripts, and screenshots of key cohort insights charts.
Query optimization techniques for large event tables and how you accounted for edge cases like returning inactive users.
Career Insights recommendation: This project is an independent editorial recommendation designed to help candidates build verifiable portfolio evidence. It is not required or sponsored by IQVIA.
Before You Apply
Verify your dataset portfolios, dashboard presentations, and application materials before applying.
Ensure your resume highlights SQL queries, data manipulation projects, and interactive dashboard links involving Data Analysis, Primary Research, Market Research.
Confirm that your degree, graduation year (Not specified), and location match IQVIA's criteria.
Have 1–2 data analysis projects prepared. Be ready to explain your data cleaning methodology, SQL aggregation queries, and actionable conclusions.
Submit your application directly through IQVIA's official careers portal using the verified apply link below. Career Insights does not process applications or charge any candidate fees.
Career Growth Context
Editorial analysis of how this role builds quantitative expertise and strategic analytical influence.
Data Architecture & Tooling Orientation
Familiarity with enterprise data warehouses, schema design, SQL data pipelines, and internal business metrics.
Exploratory Analysis & Dashboard Engineering
Constructing performant business intelligence dashboards, validating dataset integrity, and automating recurring analytical reporting.
Statistical Modeling & Strategic Insights
Conducting cohort analyses, predictive modeling, and identifying trends that drive product, operational, or business efficiency.
Progression Toward Senior / Lead Analytics Partner
Defining data governance standards, leading cross-functional data initiatives, and guiding organizational decision-making with executive stakeholders.
This page provides verified job details sourced from IQVIA's recruitment announcement, alongside independent preparation roadmaps authored by the Career Insights editorial team. Career Insights is not affiliated with IQVIA and does not collect candidate data or charge application fees.
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