Are you a talented Data Analyst looking for a challenging opportunity to apply your skills in a dynamic and supportive environment? A prominent healthcare analytics firm located in Bangalore is seeking a Data Analyst to join their team. This is a full-time position with a focus on leveraging your analytical expertise to deliver impactful insights in the healthcare sector.
About the Company
Our client is a global leader in healthcare analytics, providing innovative data-driven solutions to healthcare professionals and organizations. Their commitment to enhancing healthcare outcomes through advanced analytics is unmatched, and they pride themselves on their ability to deliver actionable insights that support informed decision-making. With a diverse team of experts, they foster an inclusive culture that encourages growth and collaboration.
Job Overview
As a Data Analyst, you will support ongoing recurring deliverables primarily using PL/SQL, PySpark, SAS, Python, and BDF technologies. You will play a crucial role in contributing to ad-hoc projects and proof-of-concepts as part of the U.S. AA support team. Enhancing and sharing your expertise in the APLD and healthcare domain will be integral to your role.
Key Responsibilities
- Project Management: Serve as a day-to-day manager for 1-2 projects, ensuring smooth delivery in collaboration with the team lead.
- Data Analysis: Provide data-based methodology support and conduct statistical analyses to deliver impactful outcomes, preparing written summaries of study results.
- Communication: Manage project and internal communications efficiently, serving as the first point of quality check in the team.
- Junior Development: Assist and mentor junior team members in their development, fostering growth within the team.
- Domain Knowledge: Develop comprehensive knowledge related to various disease indications and market dynamics across different countries.
Essential Skills & Qualifications
- Programming Skills: Excellent PL/SQL programming skills with the ability to implement complex joins for multi-million record relational databases.
- Data Handling: Proficient in creating complex analysis datasets, with a keen eye for outliers and anomalies.
- Communication Skills: Strong written and oral English communication skills, essential for documenting processes and presenting data.
- Analytical Tools: Proficient in data analytical tools such as Excel, SAS, and presentation tools like PowerPoint.
- Technical Knowledge: Basic understanding of Python and UI development (HTML, CSS) is a plus.
How to Apply
