Data Engineer (Finance)

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Data Engineer (Finance) - CooperSurgical

Collaborate with the Director of Data Engineering, Business Intelligence Leads, and other data engineers to design and maintain the PBI infrastructure and environment. Support CSI enterprise reporting and analytics infrastructure, bridging the gap between business units and the Data Engineering Solutions Architect. Enhance and extend the CSI Common Data Model, ensuring all necessary data is available for timely and actionable analysis, reporting, and insight-driven decision-making.

About CooperSurgical

CooperSurgical is a leading fertility and women's healthcare company dedicated to supporting women, babies, and families at pivotal healthcare moments. We provide innovative assisted reproductive technology and genomic solutions to enhance the work of ART professionals. With over 600 clinically relevant medical devices, CooperSurgical serves women's healthcare providers with comprehensive testing and treatment options.

CooperSurgical is a wholly-owned subsidiary of CooperCompanies (Nasdaq: COO), headquartered in Trumbull, CT. We produce and market a wide array of products and services for women's healthcare clinicians. For more information, please visit .

Benefits

As a CooperSurgical employee, you'll receive an exceptional total compensation plan. We believe in comprehensive compensation beyond your paycheck. Our benefits include:

  • Competitive compensation package
  • Medical coverage
  • 401(k) plan
  • Parental leave
  • Fertility benefits
  • Paid time off for vacation, personal, sick, and holidays
  • Multiple other perks and benefits

For more details, please visit .

Responsibilities

As a Data Engineer, you will:

  • Design and develop high-quality, scalable data assets
  • Maintain data pipelines and flows
  • Implement best-in-class data visualization and reporting solutions
  • Oversee data verification processes for consolidated enterprise data
  • Prototype innovative solutions using cutting-edge technologies
  • Provide technical consulting and leadership
  • Coordinate with cross-functional IT stakeholders
  • Evaluate and estimate stakeholder feature requests
  • Develop advanced analytics capabilities, including predictive modeling and machine learning
  • Promote a culture of continuous improvement within the BI team
  • Travel up to 5% annually

Qualifications

Requirements include:

  • Ability to collaborate effectively with various stakeholders
  • Expertise in SQL, MS Synapse, MS Power BI, and complementary data analytics tools
  • Experience building Power BI Data Pipelines and Data Flows
  • Knowledge of MS Azure Data Lakes and MS Azure Fabric
  • Experience with MS D365 F&O functionality and data models
  • Familiarity with MS D365 CRM and MS Navision is a plus
  • Proven ability to deliver innovative solutions in an agile environment
  • Self-starter with the ability to work remotely and independently

Work Environment

This role involves a minimal travel requirement of up to 5% annually, with some travel to other CSI offices and facilities.

Experience

We require:

  • 3+ years of direct, hands-on experience in data modeling and engineering
  • 5+ years of experience in data, analytics, reporting, and business intelligence roles
  • Understanding of financial reporting needs and finance experience
  • Experience in software development and solution architecture is a plus
  • Experience in life sciences and manufacturing industries preferred
  • Experience with data privacy regulations (e.g., HIPAA, GDPR) is a differentiator

Education

A Bachelor's degree in data science, computer science, information technology, engineering, or a related discipline is required. Alternatively, 5 years of relevant professional experience can be substituted for the degree.

Additional Information

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