932 Analytics & Data Manager Remote LATAM
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 playercoach 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
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
