Job Overview
Location
Bengaluru, Karnataka
Job Type
Full-time
Category
Data Science
Date Posted
May 23, 2026
Full Job Description
đź“‹ Description
- • Design and implement scalable data warehousing architectures tailored to life sciences clients, ensuring efficient integration, storage, and management of commercial and medical datasets.
- • Develop and optimize ETL/ELT pipelines to consolidate heterogeneous data sources including U.S. pharmaceutical sales, claims, prescribing, and patient engagement data.
- • Collaborate with clients to define data requirements, map data flows, and establish data governance frameworks that ensure accuracy, compliance, and auditability.
- • Implement best practices in data modeling, dimensional design, and star/snowflake schemas to support advanced analytics and reporting needs.
- • Deploy proprietary and third-party technology solutions to enable forecasting, territory design, customer data management, and performance reporting for life sciences organizations.
- • Provide strategic insights derived from data warehouse outputs to improve commercial decision-making, market segmentation, and resource allocation.
- • Train and mentor client teams on data warehouse usage, reporting tools, and data governance protocols to foster a data-driven culture.
- • Work closely with cross-functional teams to align data architecture with business objectives in commercialization, market access, and medical affairs.
- • Ensure data quality controls are embedded throughout the data lifecycle, from ingestion to visualization, reducing inconsistencies and improving reliability.
- • Stay current with evolving data standards in the life sciences industry, including HIPAA, GDPR, and FDA data reporting requirements, and incorporate them into solution design.
- • Support end-to-end project delivery from discovery and requirements gathering through deployment and post-implementation support.
- • Document technical specifications, data dictionaries, and process workflows for knowledge transfer and long-term maintainability.
- • Leverage analytical expertise to identify opportunities for automation, performance optimization, and enhanced data usability across client operations.
- • Engage directly with U.S.-based pharmaceutical clients to understand their unique data challenges and deliver tailored data warehousing solutions.
- • Participate in client workshops and presentations to communicate technical concepts to non-technical stakeholders and align on strategic outcomes.
- • Contribute to the continuous improvement of Beghou’s data warehousing methodologies and toolkits based on real-world client feedback and project outcomes.
🎯 Requirements
- • Proven experience designing and implementing enterprise data warehouses in the life sciences or pharmaceutical industry
- • Expertise in ETL/ELT processes and tools such as Informatica, Talend, SSIS, or similar
- • Strong knowledge of data modeling techniques including dimensional modeling and star/snowflake schemas
- • Experience working with U.S. pharmaceutical datasets (e.g., IMS Health, Symphony Health, claims, prescribing data)
- • Familiarity with data governance, compliance standards (HIPAA, GDPR), and audit-ready data practices
- • Ability to train and support client teams in data warehouse usage and analytics adoption
🏖️ Benefits
- • Opportunity to work with global life sciences clients on high-impact commercialization projects
- • Exposure to proprietary and industry-leading technology solutions in data analytics and intelligence
- • Collaborative environment with a team of analytical and technology experts across 10 global offices
- • Professional development support through exposure to cutting-edge data warehousing and AI-driven insights
Skills & Technologies
Senior
Onsite
About Beghou Consulting Group LLC
Beghou Consulting Group is a life-science strategy and analytics firm founded in 1993 and headquartered in Evanston, Illinois, with offices in the US and Europe. It serves pharmaceutical, biotechnology and medical-device manufacturers, providing commercial operations consulting, data management, forecasting, market access strategy, advanced analytics, and cloud-based software solutions such as ARMADA and Mainsail. The company integrates primary and secondary data to help clients optimize product launches, pricing, sales force design and ongoing commercial performance across global markets.
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