Senior Analytics Engineer – Health Care

Truelogic Software

. Develop and maintain data analytics solutions supporting business objectives and value in care delivery .

Posted 9/15/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data analytics solutions, with strong proficiency in SQL and Python for data manipulation. Capable of designing complex data models and implementing data quality standards while effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython for Data ManipulationData Warehouse Experience (Snowflake, BigQuery, Redshift)Complex Data Model Development (DBT)Workflow Orchestration Tools (Airflow, Dagster, Prefect)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Analytics Solutions DevelopmentData Model DesignData Quality Standards ImplementationData Infrastructure MaintenanceReport and Dashboard Automation

Soft Skills

Communication of Technical Concepts

Tools & Technologies

Data Warehousing SolutionsCloud-Based PlatformsData Pipelines

Industry Keywords

Healthcare DataRegulated Sensitive DataBusiness Value in Care Delivery

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Develop and maintain data analytics solutions supporting business objectives and value in care delivery
Design, build, and maintain complex data models for operational and reporting needs
Work with internal and external teams to implement data-driven solutions improving care delivery and business value
Develop and implement data quality and integrity standards
Explore and investigate healthcare and business systems data to identify insights and patterns
Develop and maintain data infrastructure, including pipelines, databases, and data warehousing solutions
Develop, automate, and maintain reports and dashboards providing actionable insights to organizational stakeholders

Requirements

What you’ll need

3+ years of experience working with data in an analytical, engineering, or business environment
Strong working knowledge of SQL
Experience with data warehouses such as Snowflake, BigQuery, or Redshift is a plus
Proficiency in Python for data manipulation, scripting, and automation
Ability and interest in operationalizing new data and AI tools, with a focus on cloud-based platforms
Experience developing or contributing to complex data models, particularly leveraging DBT
Experience working with healthcare or other regulated sensitive data such as banking, fintech, insurance, or government data
Ability to communicate complex technical concepts to technical and non-technical stakeholders
Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect is a plus

Benefits

Comp & perks

100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities
Work-life balance support
Collaboration with a diverse, global network
Teaming with seasoned senior professionals