Analytics & Data Manager – Healthcare Analytics Platform
Posted 116ds ago
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Job Description
Analytics & Data Manager overseeing end-to-end analytics for healthcare platform. Managing data lifecycle, team mentorship, and client partnerships with focus on actionable insights.
Responsibilities:
- Own the full analytics lifecycle: requirements discovery, data modeling, transformations, BI delivery, validation, and ongoing optimization
- Translate business and clinical questions into scalable, reliable data and analytics solutions
- Actively contribute at a technical level: advanced SQL, data modeling, dbt transformations, and analytics workflows
- Design, build, and optimize ETL/ELT pipelines using AWS Redshift, dbt, and related tools
- Ensure data quality, performance, scalability, and reliability across the analytics stack
- Oversee and build customer-facing dashboards and reports that turn complex healthcare data into clear, actionable insights
- Act as the primary analytics partner for clients, leading discussions, demos, and presentations
- Communicate insights and recommendations to both technical and non-technical stakeholders, including executive audiences
- Lead, mentor, and support BI analysts and analytics engineers
- Establish best practices for SQL, data modeling, dashboard design, documentation, and code reviews
- Champion data governance, security, and quality standards
- Identify opportunities to improve metrics, automation, tooling, and analytics processes based on client and business needs
Requirements:
- 10+ years of experience in Business Intelligence, Data Analytics, or Data Engineering, with experience leading analytics initiatives or teams
- Strong hands-on mindset: comfortable working directly with data while managing people and delivery
- Advanced SQL skills and strong data modeling expertise
- Proven experience with data warehouses such as AWS Redshift or Snowflake, and transformation tools like dbt
- Hands-on experience with modern BI tools (Amazon QuickSight is a strong plus)
- Solid experience with Python for data processing, automation, and analytics workflows
- Strong client-facing communication skills in English; comfortable leading meetings and presentations
- Experience mentoring team members and working in Agile environments (Jira, Confluence)
- Analytical, problem-solving mindset with strong attention to detail.
Benefits:
- No specifications mentioned regarding benefits

















