Mid Level Healthcare Data Analyst Jobs
Mid level healthcare data analyst jobs go to analysts ready to own data pipelines and reporting workflows end to end, collaborate across clinical and operational teams, and translate findings into decisions with minimal oversight. Roles are concentrated in Staffing & Recruiting and Technology & Software, with a mix of on-site, hybrid, and remote positions, and employers like Jobot, MERCOR, and Alchemy hiring at this level now.
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Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
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Mid Level Healthcare Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level healthcare data analyst job?
Position your experience around ownership, not just contribution. Highlight projects where you drove the analysis from data pull to stakeholder presentation, tools you used independently, and any cross-functional work with clinical, finance, or operations teams. Applications that show measurable impact, such as reduced reporting time or improved data quality, stand out over those that list responsibilities without outcomes.
Which companies hire mid level healthcare data analysts?
Companies hiring mid level healthcare data analysts right now include Jobot, MERCOR, and Alchemy, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers health systems, payers, pharmacy benefit managers, and health technology vendors, all of which need analysts who can work independently on ongoing reporting and ad hoc requests.
Are there remote mid level healthcare data analyst jobs?
Yes, remote and hybrid options are common at this experience level. About 14% of mid level healthcare data analyst openings are remote or hybrid as of November 2026, reflecting how much of this work centers on querying databases, building dashboards, and presenting findings in virtual settings rather than requiring on-site presence.
How do I move up to a mid level healthcare data analyst role?
The path from entry level to mid level is built on deepening technical skills, such as moving from assisted SQL queries to independently structuring complex ones, and taking ownership of full projects rather than single tasks. Analysts who demonstrate consistent delivery, ask for stretch assignments, and quantify the impact of their work, such as accuracy improvements or process efficiencies, typically make that jump within a few years.
Which industries hire the most mid level healthcare data analysts?
Mid Level healthcare data analyst roles concentrate in Staffing & Recruiting and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors generate high volumes of claims, clinical, and operational data that require experienced analysts who can work with complex datasets without heavy oversight and communicate findings to both technical and non-technical stakeholders.