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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 designing and maintaining complex data models and infrastructure, with a strong focus on data quality, reporting, and insights generation. Proficient in SQL and Python, with experience in cloud-based platforms and healthcare data management.
Highest-signal resume keywords
SQL ProficiencyPython for Data ManipulationData Warehouse ExperienceData Model Development with dbtHealthcare 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 ModelingData Quality StandardsData Pipeline DevelopmentData Warehousing SolutionsData ExplorationReport AutomationDashboard DevelopmentData IntegrityData AnalysisData Insights
Soft Skills
Communication of Technical ConceptsCollaboration with Teams
Tools & Technologies
SnowflakeBigQueryRedshiftAirflowDagsterPrefect
Industry Keywords
Healthcare DataRegulated DataBusiness ValueOperationalizing AI ToolsCloud-Based Platforms
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 that improve care delivery and business value
- Develop and implement data quality and integrity standards
- 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 providing actionable insights to stakeholders
Requirements
What you’ll need- 3+ years of experience working with data in an analytical, engineering, or business environment
- Senior-level proficiency
- 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 and work-life balance support
- Access to a diverse, global professional network
- Collaboration with multicultural teams
- Opportunity to work with senior, seasoned professionals