Entry Level Health Data Analyst Jobs
New grad health data analyst jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are Technology & Software, Healthcare & Medical Services, and Energy roles across a mix of on-site, remote, and hybrid settings, with employers like CommunityCare, Energy Transfer, and 4P Consulting hiring at this level now.
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Showing 5 of 21+ Entry Level Health Data Analyst jobs
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
See All 21 Entry Level Health Data Analyst Jobs
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Find JobsEntry Level Health Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Energy
- Education
- Consulting & Professional Services
Entry Level Health Data Analyst Jobs: Frequently Asked Questions
How do I get an entry level health data analyst job?
Employers hiring at the entry level typically look for familiarity with SQL, Excel, and at least one visualization tool like Tableau or Power BI, alongside any hands-on experience from internships, coursework, or independent projects. A portfolio showing you can clean a real dataset and turn it into a clear summary gives you a concrete edge over candidates who list only coursework. Targeting healthcare-focused employers, such as hospital systems, insurers, and public health agencies, helps because they often hire analysts who already understand clinical or claims data terminology.
Which companies hire entry level health data analysts?
Companies hiring entry level health data analysts right now include CommunityCare, Energy Transfer, and 4P Consulting, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from hospital networks, health insurance carriers, government health agencies, and digital health startups that need analysts to support reporting and quality-improvement initiatives.
Are there remote entry level health data analyst jobs?
Yes, though remote availability varies by employer type. About 64% of entry level health data analyst openings are remote or hybrid as of November 2026, which is strong for an entry level role in a clinical-adjacent field. Hospital and clinic-side roles tend to require on-site presence, while health tech companies, insurers, and government contractors are more likely to offer flexible arrangements for analysts who work primarily with data systems rather than patients.
Are these new grad health data analyst jobs?
Yes. The listings on this page include new grad, recent graduate, and junior health data analyst roles that explicitly welcome candidates with little or no prior experience. A new-grad-friendly posting typically states that zero to two years of experience is acceptable, lists internship or academic project work as qualifying experience, or asks for a portfolio sample rather than a proven work history. If a role lists a degree requirement but not a minimum years requirement, it is generally open to new graduates.
Which industries hire the most entry level health data analysts?
Entry Level health data analyst roles concentrate in Technology & Software, Healthcare & Medical Services, and Energy, based on current listings on Migrate Mate as of November 2026. Those sectors drive hiring at this level because they generate large volumes of patient, claims, and population health data that require analysts to clean, report, and interpret, making them natural entry points for candidates building their first professional experience.