Clinical Business Data Analyst

TEKsystems•Dublin, OH

10d•$50 - $70•Remote

About The Position

Position Summary The Oncology Clinical Business Data Analyst serves as the bridge between oncology clinical teams (medical oncology, radiation oncology, surgical oncology, infusion, research), business stakeholders, and engineering teams. You will profile, map, and analyze oncology data from EHRs, registries, and partner platforms (e.g., Flatiron), translate clinical and operational needs into requirements. The analyst works closely with clinical subject matter experts, Integration engineers, and product teams to ensure data quality, integrity, and usability in support of clinical and business initiatives. Key Responsibilities Partner with clinical teams to understand workflows, terminology, and compliance needs. Document business requirements, user stories, and acceptance criteria. Facilitate discussions between clinical SMEs and technical delivery teams. Validate incoming clinical data (e.g., EMR/EHR, claims, oncology source systems, HL7/FHIR feeds). Profile and reconcile oncology data from EHRs/oncology modules (e.g., Epic Beacon/ARIA/Cerner), partner datasets (e.g., Flatiron), and registries (e.g., tumor registry feeds). Conduct data profiling, reconciliation, and root-cause analysis for quality concerns. Monitor data integrity issues and coordinate resolution with engineering teams. Identify gaps in clinical/business processes and recommend data-driven improvements. Support clinical operations with insights into patient journeys, care coordination, and provider performance. Partner with IT, data governance, interoperability, and analytics teams. Work with product and engineering teams to define data models, mappings, and transformations. Participate in regulatory, compliance, and quality initiatives where clinical data plays a role. Skills: Skills & Qualifications Required Experience working with clinical datasets (e.g., EHR/EMR, lab, radiology, oncology data, claims, HL7/FHIR). Strong SQL or data querying skills. Ability to interpret clinical terminology, workflows, and documentation hierarchies. Excellent communication skills, with the ability to translate between clinical and technical teams. Preferred Experience in oncology data (e.g., Flatiron, CureMD, ARIA, Epic Beacon, Cerner oncology). Familiarity with healthcare interoperability standards (HL7 v2, FHIR, CCD/C-CDA). Background in data governance or data quality management. Competencies Analytical thinking and problem-solving. Strong attention to detail and data accuracy. Ability to manage multiple priorities and work cross-functionally. Customer-focused mindset toward clinical partners and stakeholders.

Requirements

Experience working with clinical datasets (e.g., EHR/EMR, lab, radiology, oncology data, claims, HL7/FHIR).
Strong SQL or data querying skills.
Ability to interpret clinical terminology, workflows, and documentation hierarchies.
Excellent communication skills, with the ability to translate between clinical and technical teams.

Nice To Haves

Experience in oncology data (e.g., Flatiron, CureMD, ARIA, Epic Beacon, Cerner oncology).
Familiarity with healthcare interoperability standards (HL7 v2, FHIR, CCD/C-CDA).
Background in data governance or data quality management.

Responsibilities

Partner with clinical teams to understand workflows, terminology, and compliance needs.
Document business requirements, user stories, and acceptance criteria.
Facilitate discussions between clinical SMEs and technical delivery teams.
Validate incoming clinical data (e.g., EMR/EHR, claims, oncology source systems, HL7/FHIR feeds).
Profile and reconcile oncology data from EHRs/oncology modules (e.g., Epic Beacon/ARIA/Cerner), partner datasets (e.g., Flatiron), and registries (e.g., tumor registry feeds).
Conduct data profiling, reconciliation, and root-cause analysis for quality concerns.
Monitor data integrity issues and coordinate resolution with engineering teams.
Identify gaps in clinical/business processes and recommend data-driven improvements.
Support clinical operations with insights into patient journeys, care coordination, and provider performance.
Partner with IT, data governance, interoperability, and analytics teams.
Work with product and engineering teams to define data models, mappings, and transformations.
Participate in regulatory, compliance, and quality initiatives where clinical data plays a role.