Analyst Data Role

Medpace’s interview process typically spans three rounds: an initial aptitude test focusing on quantitative and logical reasoning, followed by a technical round that evaluates SQL query writing, Python scripting, and data modeling concepts. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice real‑world data scenarios and be prepared to discuss any academic projects related to data analysis.

Medpace promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and take ownership of projects. The company offers structured learning programs, regular feedback cycles, and a healthy work‑life balance, especially for freshers transitioning into professional roles.

Graduates with a B.Tech/B.E., B.Sc., B.Com, or BCA degree; any branch with a strong quantitative background (Computer Science, IT, Electronics, Mathematics, Statistics, Economics). Minimum aggregate 60% (or CGPA 6.5/10). Final year students of the 2026 batch are eligible. No active backlogs allowed at the time of joining. Freshers only; no prior work experience required.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical Assessment (SQL/Python & Data Modeling) → Round 3: HR Interview (cultural fit and motivation)

Medpace is a global, scientifically-driven contract research organization (CRO) that partners with pharmaceutical, biotechnology, and medical device companies to accelerate the development of life‑saving therapies. With a presence in more than 30 countries, Medpace combines deep therapeutic expertise with cutting‑edge technology to deliver end‑to‑end clinical development solutions. The company prides itself on a collaborative culture where data‑driven decision making fuels innovation and improves patient outcomes. As a fast‑growing organization, Medpace invests heavily in its talent, offering continuous learning, mentorship, and clear career progression pathways for fresh graduates and early‑career professionals. The Analyst Data Role is designed for freshers who are eager to dive into the world of data engineering and analytics within the healthcare domain. In this position, you will work closely with senior data engineers, business analysts, and domain experts to build robust data pipelines, develop insightful dashboards, and translate complex data sets into actionable business intelligence. You will be exposed to real‑world clinical data, gaining experience that is highly valued across the pharma and tech industries. Key Responsibilities: 1. Design, develop, and maintain SQL queries and stored procedures to extract and transform data from multiple sources. 2. Assist in building dimensional models and data warehouses that support analytical reporting. 3. Collaborate with data engineers to implement data architecture aligned with business requirements. 4. Create interactive visualizations and dashboards using tools such as Tableau or Power BI to communicate insights. 5. Conduct exploratory data analysis to identify trends, anomalies, and opportunities for process improvement. 6. Document data lineage, data dictionaries, and standard operating procedures for data workflows. 7. Participate in code reviews and adopt best practices for data quality and governance. 8. Support ad‑hoc analytical requests from cross‑functional teams, translating business questions into technical solutions. 9. Continuously learn and apply emerging technologies like Python libraries (pandas, numpy) for data manipulation. 10. Contribute to the development of automated reporting pipelines to reduce manual effort. Tech Stack: SQL, Python, Dimensional Modeling, Tableau/Power BI, Git, Linux basics, and exposure to cloud platforms (AWS/GCP) is a plus. Growth Path: Starting as a Data Analyst, high performers can progress to Data Engineer, Senior Data Engineer, and eventually to Data Architect or Analytics Manager within 3‑5 years, depending on skill acquisition and project impact. Why Join Medpace? You will be part of a mission‑driven organization that impacts global health, receive mentorship from industry veterans, and work on data that directly influences clinical trial outcomes. The role offers a blend of technical depth and business exposure, making it an ideal launchpad for a career in data analytics and engineering.