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932 - Analytics & Data Manager (Healthcare Analytics Platform) · Remote · LATAM
hace 7 horas
Location: Anywhere in LATAM
Job Type: Remote
Project: Healthcare Analytics Platform
Time Zone: Open (client overlap required)
English Level: C1
We are looking for a hands-on Analytics & Data Manager to own and lead the end-to-end analytics and data lifecycle for a complex healthcare analytics platform.
This role combines people leadership, technical execution, and customer-facing ownership. You will be responsible for driving analytics strategy and delivery end-to-end: from understanding business and clinical needs, through data modeling and pipelines, to BI delivery and insight consumption.
You will work closely with clients, product, data engineering, and analytics teams, while actively contributing at a technical level and mentoring analysts and BI engineers. This is a true player–coach role, ideal for someone who enjoys staying close to the data while leading teams and outcomes.
What Youll Be DoingEnd-to-End Analytics & Data Ownership
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
Work with BI tools such as Amazon QuickSight, Tableau, or Power BI
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
Must-Haves
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
Experience working with healthcare data (claims, EHR/EMR, population health, value-based care metrics)
Experience with US healthcare analytics (quality measures, risk adjustment, population health)
Broader AWS ecosystem experience (S3, Glue, Lambda) or exposure to big data platforms
Experience with CI/CD, Git-based workflows, and data orchestration tools (Airflow, Jenkins)
Background in advanced analytics, statistics, or machine learning
Experience enabling or training customers on analytics and BI platforms
