Sobre

• Analytics & Data Manager · LATAM
• Location: Anywhere in LATAM
• Job Type: Remote
• Project: Healthcare Analytics Platform
• Time Zone: Open (client overlap required)
• English Level: C1
• About the Role – Analytics & Data Manager (Hands-on)
• 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 Doing
• End-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
• Hands-on Data & Analytics Leadership
• 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
• BI, Insights & Visualization
• 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
• Customer-Facing & Stakeholder Management
• 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
• Team Leadership & Mentorship
• Lead, mentor, and support BI analysts and analytics engineers
• Establish best practices for SQL, data modeling, dashboard design, documentation, and code reviews
• Data Governance & Continuous Improvement
• Champion data governance, security, and quality standards
• Identify opportunities to improve metrics, automation, tooling, and analytics processes based on client and business needs
• What You Bring
• 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
• Domain Experience (Strong Plus)
• Experience working with healthcare data (claims, EHR/EMR, population health, value-based care metrics)
• Nice to Have
• 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