Analytics Engineer

About the role

The Analytics Engineer is a highly technical, business-facing role responsible for delivering deep analytical insights, rapid analytics solutions, and advanced data products in support of discovery and research teams. This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Responsibilities

• Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
• Translate ambiguous business questions into structured analysis.
• Serve as a partner to discovery team, providing analytics support.
• Design, develop, and deliver high-quality dashboards, reports, and ad-hoc analyses with fast turnaround times.
• Balance speed and rigor while maintaining high standards of data quality.
• Develop complex SQL queries and conduct performance and quality checks.
• Use Python for data analysis, feature engineering, and analytical modeling.
• Build reusable analytical assets to accelerate future discovery efforts.
• Collaborate and support data science team in developing AI/ML uses cases.
• Apply statistical experimentation modeling techniques where appropriate.
• Maintain active curiosity and learning in analytics, data science, and AI.
• Partner closely with business stakeholders, discovery team to align analytics solutions with business objectives.
• Clearly communicate analytical findings, assumptions, and limitations to technical and non-technical audiences.
• Contribute to Agile/SCRUM ceremonies and deliver work predictably within sprint commitments.
• Continuously improve analytics processes, tooling, and delivery practices.
• Support modernization and migration initiatives from legacy reporting platforms.
• Participate in on-call or escalation support rotations as needed.
• Mentor peers on analytics best practices when appropriate.

Requirements

Qualifications:

• Bachelor’s degree in data science, Computer Science, Engineering, Mathematics, Business Analytics, or a related field.
• Experience: 5+ years of experience in advanced analytics, data analysis, analytics engineering, or similar roles.
• Demonstrated experience delivering business-facing analytical solutions in complex environments.
• Strong experience with SQL and Python applied to real-world analytics problems.
• Advanced knowledge of SQL and data models.
• Strong understanding of analytics workflows, exploratory analysis, and data validation.
• Working knowledge of data science and AI concepts.
• Understanding of data governance and quality principles.

Skills

• Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds.
• Exceptional analytical and critical thinking skills.
• Ability to rapidly analyze, synthesize, and communicate insights.
• Strong time management with a focus on delivery and accountability.
• Clear written and verbal communication skills.

Benefits

Location Specific Details:

• Work Location: Hybrid, Remote, or On-Site.
• While this role supports flexible work arrangements, the individual must be located within commuting distance of a division location.
• Periodic on-site presence will be required to support collaboration, discovery activities, and business needs.

Pay

For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $132,000.00p/yr. to $142,000.00p/yr.

Schedule

Positions reporting into our New York location: $132,000 - $142,000

Qualifications

Education Qualifications:

• Bachelor’s degree in data science, Computer Science, Engineering, Mathematics, Business Analytics, or a related field.
• Experience: 5+ years of experience in advanced analytics, data analysis, analytics engineering, or similar roles.
• Demonstrated experience delivering business-facing analytical solutions in complex environments.
• Strong experience with SQL and Python applied to real-world analytics problems.
• Advanced knowledge of SQL and data models.
• Strong understanding of analytics workflows, exploratory analysis, and data validation.
• Working knowledge of data science and AI concepts.
• Understanding of data governance and quality principles.

Company Overview

Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners. NYBC is part of New York Blood Center Enterprises (NYBCe), which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic and biopharmaceutical organizations. NYBCe’s Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health. To learn more, visit nybc.org. Connect with us on Facebook, X, Instagram, and LinkedIn.