932 - Analytics & Data Manager (Healthcare Analytics Platform) · Remote · LATAM

Darwoft; A distancia; ARS 6.500.000 - 9.750.000; Jornada completa

Descripción de la vacante

A healthcare analytics company is seeking a hands-on Analytics & Data Manager to lead the end-to-end analytics lifecycle for a healthcare platform. The role requires strong leadership skills, advanced SQL expertise, and experience with data modeling, BI tools, and stakeholder communication. Ideal candidates will have over 10 years of experience in analytics or data engineering, with a proven ability to mentor teams. This is a remote position open to candidates across LATAM.

Formación

• 10+ years of experience in Business Intelligence, Data Analytics, or Data Engineering.
• Strong hands-on mindset and comfortable working directly with data.
• Experience leading analytics initiatives or teams.

Responsabilidades

• Own the full analytics lifecycle: requirements discovery, data modeling, BI delivery.
• Ensure data quality, performance, and reliability across the analytics stack.
• Lead discussions and presentations as the primary analytics partner for clients.

Conocimientos

Advanced SQL

Data modeling

Python

Client-facing communication skills

Hands-on mindset

BI tools (Amazon QuickSight, Tableau, Power BI)

Agile environments (Jira, Confluence)

Herramientas

AWS Redshift

dbt

Snowflake

ETL/ELT pipelines tools

Descripción del empleo

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