Darwoft

Analytics & Data Manager – Healthcare Analytics Platform

Darwoft

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇦🇷 Argentina

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSETLPythonSQL

About the role

  • 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
  • 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

Requirements

  • 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.
Benefits
  • No specifications mentioned regarding benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
advanced SQLdata modelingdbt transformationsETL pipelinesELT pipelinesdata warehousingPythondata processinganalytics workflowsbusiness intelligence
Soft skills
client-facing communicationleadershipmentoringproblem-solvingattention to detailcollaborationpresentation skillsanalytical mindsetcommunication skillsteam management