Financial Analytics Data Engineer

The Financial Analytics Data Engineer at Daiichi Sankyo, Inc. will partner with Financial Analytics Product Managers and Data Scientists to convert analytics and product needs into scalable data and analytics solutions. The role focuses on data integration, transformation, operationalization, delivery, and ongoing improvement through validation, monitoring, and quality controls.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, transformation logic, reusable datasets, and data products for Financial Analytics use cases.
• Convert analytical and product requirements into technical implementations that support operationalization of analytical assets in production environments.
• Implement data validation, monitoring, and quality controls to promote reliable, trusted, and maintainable data foundations.
• Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX, and technical teams to align solutions with enterprise architecture, engineering standards, and delivery requirements.
• Assess modern data engineering approaches to drive innovation and continuous improvement, improving scalability and maintainability while meeting data governance and security standards.

Required Qualifications

• Bachelor’s Degree required.

Preferred Qualifications

• Master’s Degree in a relevant area such as data engineering, computer science, software engineering, information systems, data science, mathematics, finance, or a related field.
• Understanding of cloud-based data platforms, data architectures, and modern engineering practices.
• Experience in industries such as pharmaceuticals and chemicals.

Experience Requirements

• 5+ years in data engineering, analytics engineering, software engineering, data management, or related fields, preferably supporting analytics or AI use cases within the finance domain.
• Experience building and maintaining scalable data pipelines and analytical data solutions.
• Experience working with structured and semi-structured data environments and data transformation concepts.
• Proven ability to deliver in cross-functional environments and collaborate across multiple technical teams.

Location and Travel

Basking Ridge, NJ (onsite). Travel requirements: of the time (limited).

Compensation and Benefits

Salary range: USD 127,280 - 190,920 per yearly.

• Download Our Benefits Summary PDF
• Salary Range: USD$127,280.00 - USD$190,920.00