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Senior Analytics Engineer – Health Care
Truelogic Software. Design, build, and maintain complex data models supporting critical operational and reporting needs.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, data quality standards, and data infrastructure development, with a strong focus on healthcare data and cloud-based solutions. Proficient in SQL and Python, capable of delivering actionable insights through reports and dashboards.
Highest-signal resume keywords
Data ModelingSQL ProficiencyPython for Data ManipulationData Warehousing (Snowflake, BigQuery, Redshift)Healthcare Data Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSQLPythonData Quality StandardsData Infrastructure DevelopmentData PipelinesData WarehousingReport AutomationData ExplorationDBT
Soft Skills
Communication of Technical Concepts
Tools & Technologies
AirflowDagsterPrefectCloud-Based Platforms
Industry Keywords
Healthcare DataRegulated Sensitive DataBusiness ValueOperationalizing Data Tools
Tech Stack
Tools & technologiesAirflowAmazon RedshiftBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain complex data models supporting critical operational and reporting needs.
- Work with internal and external teams to implement data-driven solutions to improve care delivery and business value.
- Develop and implement data quality and integrity standards to ensure accurate and reliable data.
- Conduct data exploration and investigation to identify insights and patterns in healthcare and business systems data.
- Develop and maintain data infrastructure, including data pipelines, databases, and data warehousing solutions.
- Develop, automate, and maintain reports and dashboards that provide clear, actionable insights to stakeholders across the organization.
Requirements
What you’ll need- 3+ years of experience working with data in an analytical, engineering, or business environment (senior-level proficiency is required).
- 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 with developing or contributing to complex data models, particularly leveraging DBT.
- Experience working with healthcare or other regulated sensitive data such as banking, fintech, insurance, government, etc.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Bachelor's or master's degree in computer science, healthcare informatics, statistics, or related fields is nice to have.
- Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect) is nice to have.
- Must be currently based in Latin America.
Benefits
Comp & perks- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
- A Culture That Values You: Engagement activities and a focus on well-being and work-life balance.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries and collaborate with a multicultural team.
- Team Up with Skilled Professionals: Work alongside seasoned senior talent.