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Beghou Consulting

Posted 10 months ago

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Senior Consultant - Data warehousing

BengaluruOn-siteFull-time

AI Summary

Senior data warehousing consultant who designs and implements data architectures, optimizes ETL and data governance, and leads DW projects to deliver data-driven insights for life sciences clients.

About this role

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.


Propose of job
As a Consultant in a Data Warehousing project, you have to design and implement effective data architectures, ensuring efficient data integration and management. Additionally, you should provide strategic insights to improve decision-making processes, implement best practices for data governance, and offer training for internal teams, ultimately driving the organization towards becoming more data-driven and efficient in its operations. If you are passionate about utilizing your expertise in U.S. pharmaceutical datasets to drive client success, we invite you to apply for this exciting opportunity!

We'll trust you to

  • Translate business requirements into technical terms and leads project teams in the design and development of data warehouse and reporting solutions that solve business problems
  • Evaluate and assist in optimizing ETL processes and database performance to enhance overall system efficiency
  • Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development.
  • Synthesizes findings, develops recommendations, and communicates results to clients and internal teams.
  • Distill complex concepts into easy-to-understand frameworks and presentations
  • Assist in managing project timelines, budgets, and scopes while ensuring effective communication among team members and stakeholders
  • Assumes project management responsibilities for DW implementation on each project with minimal supervision, including managing onshore/client communication, leading meetings, drafting agendas, managing timelines and serving as a key client contact for project discussions.
  • Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes
  • Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching, contributes to internal initiatives as needed
  • Work with leadership on any business unit related initiatives such as process improvement or innovation initiatives
  • Manage multiple projects simultaneously while meeting deadlines

    • You'll need to have:

  • Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
  • 5-8 years of relevant consulting-industry experience
  • Deep understanding of data management best practices, data modeling and data analytics
  • Familiarity with data visualization and business intelligence tools like Tableau and PowerBI, including their integration with ETL outputs
  • Strong understanding of U.S. pharmaceutical datasets and their applications
  • Logical thinking and problem-solving skills along with an ability to collaborate.
  • Proficiency in Microsoft Office products & data analysis tools (e.g., SQL, Python, R)
  • Strong project management and people management skills.
  • Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences
  • Strong organizational abilities and effective time management skills
  • Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap.
  • Awareness of latest technologies related (but not limited to) to cloud platform services, visualization, data management

    • Skills

    BI ToolsCloud Platform ServicesData AnalyticsData GovernanceData ModelingData VisualizationData WarehousingETLOraclePowerBIProject ManagementPythonRRedshiftSnowflakeSparkSQLSQL ServerStakeholder ManagementTableau

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