About the role

Life Sciences Data Analyst

Job Summary:

The Life Sciences Data Analyst plays a crucial role in managing and analyzing healthcare and customer master data to support our pharmaceutical operations. This position impacts the organization by ensuring high-quality, compliant data that drives informed decision-making and enhances overall business performance.

Key Responsibilities:

Analyze and manage healthcare/customer master data processes to ensure accuracy and reliability.
Utilize strong knowledge of MDM entity types such as Customer, Organization, Product, and Payer to maintain comprehensive data records.
Implement and monitor data hierarchies, affiliations, and relationship management concepts within the organization.
Ensure compliance with GxP standards and regulations, maintaining data integrity in a highly regulated environment.
Collaborate with cross-functional teams to support data governance and enhance data quality practices.
Use SQL to run queries and conduct data analysis independently, providing actionable insights to stakeholders.
Identify areas for improvement in data management processes and recommend solutions to enhance efficiency.

Requirements:

Mandatory experience in the Life Sciences or Pharmaceutical domain.
Strong understanding of healthcare/customer master data processes.
Proficient knowledge of MDM entity types including Customer, Organization, Product, and Payer.
Familiarity with healthcare data hierarchies, affiliations, and relationship management.
Understanding of GxP compliance concepts and processes in regulated environments.
Proficiency in SQL for effective data analysis and querying.
Excellent analytical skills with attention to detail and a commitment to data quality.

Preferred Qualifications:

Exposure to data governance and data quality practices in pharmaceutical environments.
Experience with data visualization tools to present analytical findings effectively.
Ability to work collaboratively in team settings and manage multiple projects simultaneously.
Strong communication skills for conveying complex data concepts to non-technical stakeholders.

Benefits:

Competitive salary with performance-based bonuses.
Comprehensive health, dental, and vision insurance.
Retirement savings plan with employer matching.
Generous paid time off policy, including holidays and personal days.
Opportunities for professional development and continuous learning.
Flexible work arrangements to support work-life balance.
Employee wellness programs and resources for mental health support.

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