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Data Analytics Engineer (Data warehouse/ETL)

Leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
Healthcare

Description For Data Analytics Engineer (Data warehouse/ETL)

IQVIA is seeking a Data Analytics Engineer to lead data-driven projects in the pharmaceutical and healthcare industries. This high-impact role involves collaborating with global teams and working with cutting-edge cloud technologies to shape the future of healthcare data solutions. The position focuses on designing and implementing large-scale data systems, building robust data pipelines, and optimizing database performance.

The ideal candidate will have strong expertise in database design, ETL processes, and SQL optimization, along with experience in modern BI tools and cloud platforms like Azure and Databricks. They will be responsible for analyzing client needs, developing cost-effective solutions, and ensuring successful project delivery through effective communication and project management.

IQVIA offers an opportunity to work at the intersection of healthcare and technology, contributing to innovative medical treatments and improved patient outcomes worldwide. The company's position as a leading global provider of clinical research services and healthcare intelligence provides exposure to cutting-edge projects and technologies in the life sciences sector.

This role offers the chance to work with a diverse, global team while developing expertise in both technical and domain-specific areas. The position requires a balance of technical skills, analytical thinking, and project management capabilities, making it ideal for someone looking to grow their career in healthcare data analytics.

Last updated 7 days ago

Responsibilities For Data Analytics Engineer (Data warehouse/ETL)

  • Design, develop and implement technological solutions for client challenges
  • Perform in-depth analysis of client needs and propose cost-effective strategies
  • Execute data analysis to support solution design and decision making
  • Recommend process improvements and alternative approaches
  • Ensure client satisfaction through proactive communication and follow-up
  • Stay updated with industry trends in data engineering, cloud platforms, and healthcare technology
  • Develop expertise in pharmaceutical and life sciences domains
  • Manage project workflows, assign tasks and ensure timely execution

Requirements For Data Analytics Engineer (Data warehouse/ETL)

  • Experience with database design and data modeling
  • Expertise in ETL and data integration
  • Advanced SQL and query optimization skills
  • Experience with BI tools (Tableau, Power BI or MicroStrategy)
  • Knowledge of cloud data storage solutions (Azure and Databricks)

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