Note: The job is a remote job and is open to candidates in USA. New York Blood Center is seeking an Analytics Engineer to support discovery, research, and operational decision-making through advanced analytics. The role delivers exploratory analyses, dashboards, data products, and recommendations while applying SQL, Python, data science, and AI/ML techniques and partnering with technical and business stakeholders.
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
- Produce executive- and stakeholder ready outputs with minimal rework
- 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
Skills
- Bachelor's degree in data science, Computer Science, Engineering, Mathematics, Business Analytics, or a related field
- 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
- 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
- Ability to operate independently with minimal oversight
- Ability to manage ambiguity and drive work from problem definition to solution
- Ability to engage confidently with senior stakeholders and discovery teams
- Ability to continuously learn and adapt in a fast-evolving analytics environment
- Any combination of education, training and experience equivalent to the requirements above that has supplied the necessary knowledge, skills, and experience to perform the essential functions of the job
- 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
Benefits
- Work Location: Hybrid, Remote, or On-Site.
- Flexible work arrangements
Company Overview
Company H1B Sponsorship