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Entry Level Healthcare Data Analyst Jobs (NOW HIRING)

Loopback LLC

RWD Data Analyst

Dallas, TX

$25 - $35/hr

This position will give exposure to how healthcare data is used to support clinical research across ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

Segal

Health Benefits Data Analyst

Chicago, IL · On-site

$62K - $75K/yr

Are you passionate about delivering trusted advice that improves lives and using healthcare data analytics? Do you enjoy digging into complex medical and pharmacy claims data, building SQL analyses ...

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Quality Data Analyst I

Auburn, CA · On-site

$35 - $38/hr

Utilize healthcare data systems and Microsoft Excel to organize, analyze, and validate data. * Identify, troubleshoot, and resolve data discrepancies and inconsistencies. * Respond to data requests ...

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Central Health

Data Analyst

Austin, TX · On-site

Hands on experience with healthcare data analysis can substitute for for specific fields of study. Required Work Experience: * 2 years of experience in healthcare, statistics, experimental research ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

You will analyze the needs and the environment to ensure the solutions you develop consider the ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

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All JobsEntry Level Healthcare Data Analyst Jobs

Entry Level Healthcare Data Analyst information

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How much do entry level healthcare data analyst jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for entry level healthcare data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What does an Entry Level Healthcare Data Analyst do?

An Entry Level Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with large datasets related to patient care, billing, and hospital operations, using statistical tools and software to identify trends and generate reports. Their work supports improvements in patient outcomes, operational efficiency, and regulatory compliance. Entry-level analysts typically collaborate with more experienced data professionals and healthcare staff to ensure data integrity and accuracy.

What are the key skills and qualifications needed to thrive as an Entry Level Healthcare Data Analyst, and why are they important?

To thrive as an Entry Level Healthcare Data Analyst, you need a solid grounding in statistics, data analysis, and healthcare concepts, usually backed by a bachelor’s degree in health informatics, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and electronic health record (EHR) systems is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly to non-technical stakeholders. These abilities are crucial for transforming complex healthcare data into actionable insights that drive better patient outcomes and organizational efficiency.

What is the difference between Entry Level Healthcare Data Analyst vs Healthcare Data Coordinator?

AspectEntry Level Healthcare Data AnalystHealthcare Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of healthcare data systemsBachelor's in health information management or related field; familiarity with healthcare data management
Work EnvironmentHealthcare facilities, clinics, or health IT companies; focus on data analysis and reportingHospitals or clinics; managing data entry, organization, and compliance
Employer & Industry UsageUsed across healthcare providers, insurance companies, and health IT firmsPrimarily in hospitals and healthcare organizations for data management

While both roles involve working with healthcare data, the Entry Level Healthcare Data Analyst focuses on analyzing and interpreting data to support decision-making, whereas the Healthcare Data Coordinator handles data entry, organization, and ensuring data accuracy. The analyst role typically requires more analytical skills, while the coordinator role emphasizes data management and compliance.

What are some common challenges faced by entry level healthcare data analysts, and how can they be addressed?

Entry level healthcare data analysts often face challenges such as navigating complex healthcare data systems, ensuring data accuracy, and understanding industry-specific regulations like HIPAA. To overcome these obstacles, new analysts should focus on developing strong technical skills in data management tools, actively seek mentorship from experienced colleagues, and stay updated on healthcare compliance standards. Regular collaboration with clinical and IT teams also helps bridge knowledge gaps and fosters a more comprehensive understanding of how data impacts patient care and operational decisions.
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Entry Level Healthcare Data Analyst jobs near you
Infographic showing various Entry Level Healthcare Data Analyst job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 4% Part Time, and 26% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Healthcare / Oncology Senior Data Analyst

Healthcare / Oncology Senior Data Analyst

KORE1 Technologies

Tampa, FL • On-site

$55 - $65/hr

Full-time

Posted 23 days ago

Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Healthcare / Oncology Senior Data Analyst based in Tampa Florida, with the option to work fully remotely.
Position Overview
The Senior Data Analyst will play a critical role in the execution of data-related Statements of Work (SOWs) within the companies' Life Sciences team. This role is focused on hands-on data wrangling, quality assurance, and the development of backend data pipelines and outputs that support high-impact oncology analytics projects. The ideal candidate is highly proficient in SQL and data visualization, experienced with healthcare data, and capable of supporting cross-functional projects through strong technical execution.
Key Responsibilities
Execute project-specific deliverables outlined in client SOWs, including:
* Cohort creation and treatment journey mapping
* NGS utilization and biomarker analysis
* Real-world evidence studies
* Reporting for payor adherence and education initiatives
* Lead feasibility analyses to support business development needs
* Build and maintain SQL queries, stored procedures, and data tables to support internal and client-facing analytics
* Develop and refine Power BI dashboards and R/Python-based outputs to support both ad hoc requests and standardized reporting
* Conduct thorough data validation and QA checks to ensure delivery of accurate, clean, and reliable datasets
* Collaborate with engineering and data operations teams to support and enhance back-end data pipelines
* Contribute to schema development and data model design to ensure data delivery infrastructure scales with client needs
* Document and track completion of assigned tasks and deliverables across multiple concurrent projects
Required Qualifications
* Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field
* Strong proficiency in SQL and at least one scripting/statistical language (R or Python)
* Experience working with relational databases and managing large-scale datasets
* Ability to design and QA data tables, visualizations, and output files for real-world use
* Familiarity with Power BI or similar business intelligence platforms
* Strong attention to detail and a commitment to high-quality work
* Comfortable working in a fast-paced, collaborative, and remote-first environment
Preferred Qualifications
* Experience working with healthcare data, especially oncology, EHR, or claims
* Knowledge of the Azure environment or cloud data infrastructure
* Exposure to NGS data, biomarker testing, or real-world evidence generation
* Understanding of data pipeline components (ETL, data modeling, QA frameworks)
Job Requirements
Compensation depends on experience but is typically $55-65/hr.
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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