Financial Analytics Data Engineer

Daiichi Sankyo US; Basking Ridge (NJ); On-site; USD 127,000 - 191,000; Full time

Job summary

Daiichi Sankyo US is seeking a data engineering professional to join the Financial Analytics team. This role focuses on scalable data pipelines, data transformation, and reliable analytics delivery in production environments.

You will collaborate with Product Managers, Data Scientists, Global DX, and technical teams to ensure solutions meet enterprise architecture, governance, and security standards while driving continuous improvement. Strong problem solving and cloud experience preferred.

Qualifications

• 5+ years in data/analytics engineering roles.
• Experience building scalable data pipelines and analytical data solutions.
• Experience with structured and semi-structured data environments and data transformation concepts.
• Proven ability to work in cross-functional delivery environments and collaborate across technical teams.

Responsibilities

• Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases.
• Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments.
• Apply data validation, monitoring and quality controls to ensure 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.
• Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards.

Skills

Data engineering

Analytics engineering

Software engineering

Data management

Education

Bachelor's Degree

Master's Degree in Data Engineering

Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary

This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: - Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases - Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments - Apply data validation, monitoring and quality controls to ensure 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 - Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards.

Responsibilities

Job Description

This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability.

The Role Focuses On The Following Key Responsibility Areas

• Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases
• Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments
• Apply data validation, monitoring and quality controls to ensure 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
• Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards

Qualifications

Education Qualifications

Bachelor's Degree required Master's Degree Data engineering, computer science, software engineering, information systems, data science, mathematics, finance or a related field preferred

Experience Qualifications

5+ year data engineering, analytics engineering, software engineering, data management or related fields, preferably supporting analytics or AI use cases in the finance domain required

Experience building and maintaining scalable data pipelines and analytical data solutions required

Experience with structured and semi-structured data environments and data transformation concepts required

Proven ability to work in cross-functional delivery environments and collaborate across various technical teams required

Understanding of cloud-based data platforms, data architectures and modern engineering practice preferred

Travel Requirements

Experience in industries such as pharmaceuticals and chemicals preferred

of the time. Limited

Additional Information

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range

USD$127,280.00 - USD$190,920.00