Manager Data Insights
Listed on 2026-07-13
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IT/Tech
Data Analyst, Business Intelligence, Data Engineering
Location: Long Island City
Manager People Data Insights
Location:
Long Island City, NY, US, 11101 Req Category:
Human Resources
Position Title:
Manager, People Data Insights
Position Summary:
At Jet Blue, our mission is to inspire humanity. The People Data Insights team is uniquely positioned to inspire our crew members by using expertise in analytics, data, research, and psychology to help leaders make informed, people-centered decisions. The team provides insights across the crew member lifecycle, including selection and assessment, listening strategy, attrition, internal mobility, engagement, workforce metrics, dashboards, and organizational research.
The Manager, People Data Insights will serve as the primary owner of the team's People data infrastructure, reporting ecosystem, and reusable analytics products. This role is responsible for building, maintaining, and continuously improving the data pipelines, curated datasets, reporting tools, dashboards, and data products that enable the People Data Insights team, People Business Partners, Compensation, senior leaders, and other stakeholders to understand workforce trends and take action.
The Manager will work across multiple People data sources and systems to ensure data are accurate, clean, accessible, and decision-ready. This includes maintaining pipelines into Snowflake, developing reproducible analytics workflows using R and Git Hub, creating dashboards in Tableau, building reporting products using R Markdown/flex dashboard, and translating complex workforce data into clear insights for diverse audiences. This role requires a rare combination of deep technical expertise, strong data visualization and storytelling skills, People analytics domain knowledge, and consultative partnership.
The Manager will not only maintain the data foundation for the team but will also help leaders and partners use data in meaningful ways to understand workforce risks, identify trends, evaluate options, and guide business decisions.
Essential Responsibilities:
- Own and maintain People Data Insights data infrastructure, including data pipelines, curated datasets, data quality checks, documentation, and processes that ensure data are accurate, timely, and analysis-ready
- Clean, integrate, and manage data from multiple People systems and sources, including maintaining pipelines into Snowflake and supporting appropriate access to reliable workforce data
- Serve as a liaison between People Data Insights and IT to support data access, systems understanding, data governance, Snowflake migration, and infrastructure improvements
- Build and maintain reproducible analytics workflows using R, Git Hub, R Markdown, flex dashboard, and other tools to support scalable reporting, dashboards, analysis, and automation
- Lead recurring People reporting cadences, including weekly, monthly, and quarterly reports, key risk indicators, and other leader-facing workforce reports, with clear summaries of key findings, trends, and risks
- Develop and maintain dashboards that help leaders and partners explore workforce trends, understand key metrics, and identify areas for action
- Build and maintain scalable data products, reporting packages, and analytics tools, such as talent profiles, organizational span reports, workforce trend packages, and other resources that support major People and business processes
- Apply data visualization and user-centered design principles to ensure dashboards, reports, and analytics products are clear, intuitive, and appropriate for varied business audiences
- Fulfill ad hoc People metrics and research requests for People and non-People audiences, ensuring outputs are accurate, clearly communicated, and appropriate for the business question
- Conduct deeper analytic projects related to attrition, engagement, mobility, workforce structure, selection, assessment, and other People priorities
- Translate complex data, metrics, and analyses into clear, concise insights and recommendations for leaders and stakeholders with varying levels of technical expertise
- Partner with People Business Partners, Compensation, IT, and other cross-functional teams to clarify stakeholder needs, troubleshoot data issues, improve…
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