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Manager Analytics Data Engineering Jobs in New Jersey

Astrana Health, Inc.

$140K - $160K/yr

Manager - Data Engineering Department: Data - Engineering Employment Type: Full Time Location: 1668 ... You will collaborate closely with data analysts, data scientists, technology teams, and business ...

Jobtailor

Lead Analyst, Data Advisor

New Brunswick, NJ · On-site

$95 - $120/hr

Work closely with data engineering, data quality, and platform teams to stay aligned on available ... Demonstrated ability in data analytics, data management, or business-facing data roles * Solid ...

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are ... analytics products. The role combines handson technical leadership with people management and ...

Astrana Health, Inc.

$160K - $170K/yr

Manager - Advanced Analytics Department: Data - Analytics Employment Type: Full Time Location: 1668 ... Promote best practices in analytics, data engineering, and BI development. * Lead and mentor a team ...

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Manager Analytics Data Engineering information

What cities in New Jersey are hiring for Manager Analytics Data Engineering jobs?

Cities in New Jersey with the most Manager Analytics Data Engineering job openings:

Financial Analytics Data Engineer

Basking Ridge, NJ • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees
Learn more about Initial Therapeutics, Inc.external

$127 - $191/hr

Other

Posted 8 days ago

Job description

Job Description


Job Title: Financial Analytics Data Engineer


Job Requisition ID: 1915


Posting Start Date: 8/6/26


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


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
Experience in industries such as pharmaceuticals and chemicals preferred


Travel Requirements of the time. Limited


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.


USD$127,280.00 - USD$190,920.00


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