The Strategic Analytics Lead serves as the dedicated analytics partner for two to three assigned Revenue Cycle functional areas, acting as the primary liaison between management and the analytics pod to translate data into actionable business decisions.
Compensation
The pay range for this position is $65.00 - $70.00/hr.
Responsibilities
Act as the primary liaison between management and the analytics pod
Establish key KPIs and identify performance drivers
Translate data into actionable business decisions
Partner with Revenue Cycle leaders to define strategic KPIs
Challenge assumptions and uncover opportunities for operational improvement
Requirements
Nice to have: Ability to translate data into actionable business recommendations
The Strategic Analytics Lead serves as the dedicated analytics partner for two to three assigned Revenue Cycle functional areas. This individual acts as the primary liaison between management and the analytics pod, helping operational stakeholders establish key KPIs, identify performance drivers, and translate data into actionable business decisions.
Compensation
The pay range for this position is $65.00 - $70.00/hr.
Responsibilities
Serve as the dedicated analytics partner for two to three assigned Revenue Cycle functional areas.
Partner closely with Revenue Cycle leaders to define strategic KPIs, challenge assumptions, uncover opportunities for operational improvement, and influence business outcomes through data-driven insights.
Lead a cross-functional analytics pod consisting of reporting, data, and visualization resources.
Account for aligning resources with business priorities and ensuring the delivery of meaningful, actionable insights.
Mentor analysts and promote best practices in analytics, visualization, and stakeholder engagement.
Requirements
Nice to have: Ability to translate data into actionable business recommendations
Data Modeler with healthcare background to support Revenue Cycle Analytics initiatives.
Compensation
Pay Rate Range: $53.03 - 56.81/hr.
Responsibilities
Partner with Revenue Cycle Analytics stakeholders to gather, clarify, and document business requirements, reporting needs, metrics, and data definitions.
Analyze source systems, datasets, and existing reporting structures to identify data relationships, dependencies, and gaps.
Develop and maintain conceptual, logical, and physical data models using ERwin or similar data modeling tools.
Define entities, attributes, primary and foreign keys, relationships, data granularity, and historical tracking requirements.
Design dimensional data models, including fact and dimension tables, to support reporting and analytical use cases.
Seeking an experienced Data Modeler with a healthcare background to support Revenue Cycle Analytics initiatives, designing scalable data models for reliable and consistent analytics.
Compensation
Rate range: $60-$65/hr. on C2C
Responsibilities
Partner with Revenue Cycle Analytics stakeholders to gather, clarify, and document business requirements, reporting needs, metrics, and data definitions
Analyze source systems, datasets, and existing reporting structures to identify data relationships, dependencies, and gaps
Develop and maintain conceptual, logical, and physical data models using ERwin or similar data modeling tools
Define entities, attributes, primary and foreign keys, relationships, data granularity, and historical tracking requirements
Design dimensional data models, including fact and dimension tables, to support reporting and analytical use cases
Experienced Data Modeler with a healthcare background to support Revenue Cycle Analytics initiatives, designing scalable data models for reliable analytics.
Locations (2)
Jacksonville, Florida, United States
Pleasanton, California, United States
Responsibilities
Partner with Revenue Cycle Analytics stakeholders to gather, clarify, and document business requirements, reporting needs, metrics, and data definitions.
Analyze source systems, datasets, and existing reporting structures to identify data relationships, dependencies, and gaps.
Develop and maintain conceptual, logical, and physical data models using ERwin or similar data modeling tools.
Define entities, attributes, primary and foreign keys, relationships, data granularity, and historical tracking requirements.
Design dimensional data models, including fact and dimension tables, to support reporting and analytical use cases.