Analytics & Data Manager (Healthcare Analytics Platform)

10+ years of experience in Business Intelligence, Data Analytics, or Data Engineering, including leadership of analytics initiatives or teams Strong hands-on experience with SQL, data modeling, ETL/ELT pipelines, and analytics workflows Proven experience with data warehouses such as AWS Redshift or Snowflake, and transformation tools like dbt Expertise in modern BI tools, with hands-on experience building dashboards and visualizations Proficiency in Python for data processing, automation, and analytics tasks Excellent client-facing communication skills in English, with the ability to lead meetings and deliver presentations Experience mentoring team members and working in Agile environments (Jira, Confluence) Analytical, detail-oriented mindset with strong problem-solving capabilities Healthcare domain experience is a strong plus Familiarity with US healthcare analytics, broader AWS ecosystem, CI/CD pipelines, and advanced analytics or machine learning is desirable

Own the full analytics lifecycle, including requirements discovery, data modeling, ETL/ELT pipeline development, BI delivery, validation, and ongoing optimization Translate complex business and clinical questions into reliable, scalable data and analytics solutions Contribute hands-on to data engineering tasks, including SQL development, dbt transformations, and pipeline optimization Design and maintain customer-facing dashboards and reports using BI tools Serve as the primary analytics partner for clients, presenting insights and recommendations Lead, mentor, and support BI analysts and analytics engineers, establishing best practices Champion data governance, security, and quality standards while identifying opportunities to improve metrics, automation, and analytics processes