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Life Sciences & Healthcare data products · Drug discovery and real-world evidence analytics

Data Analyst

BangalorePosted 16 months ago
Data Science And StatisticsMid-levelFull Time
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Overview: Join a dynamic, fast-growing team focused on healthcare data analytics. Work with large healthcare data assets to understand, manipulate, and deliver insights. Role and Responsibilities: Apply quantitative problem-solving and qualitative research to address questions in the pharmaceutical and medical device industries. Collaborate with cross-functional teams including RWD domain experts, developers, analysts, and scientists. Serve as a key client contact, maintaining strong relationships to ensure satisfaction. Provide client training on DRG's proprietary RWD products and best practices for healthcare analysis. Aggregate and process large, complex datasets to meet business requirements. Identify data trends, anomalies, and perform root cause analysis to resolve data issues. Support engineering teams with analytical guidance and contribute to prototyping and model building for new product development. Design and implement standard data quality checks for both internal and external stakeholders. Translate complex business rules into scalable, efficient data processing workflows. About You: Education: Background in quantitative sciences, preferably with healthcare focus; postgraduate or graduate degree preferred. Data Management: Minimum 2 years of experience; strong proficiency in SQL or similar programming languages. Communication Skills: Ability to explain technical concepts to non-technical stakeholders. Client-Facing Experience: Experience delivering data analysis, synthesizing recommendations, and presenting results to clients. Healthcare Data Experience: Hands-on work with healthcare datasets such as insurance claims (diagnoses, procedures) or EHRs (free-text, lab data). Key Responsibilities in the Role: Understanding client requirements and delivering data accordingly. Performing data validation. Conducting feasibility checks for new projects. Developing product features and enhancements. Driving process improvements.

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