**Analytics \& Data Manager · LATAM** ===================================== **Location:** Anywhere in LATAM **Job Type:** Remote **Project:** Healthcare Analytics Platform **Time Zone:** Open (client overlap required) **Languages:** Advanced English / Advanced Spanish **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 and Spanish; 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