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Entry Level Healthcare Data Analyst Jobs in San Ramon, CA

Medclinicx

Healthcare Data Scientist

San Francisco, CA · On-site

$120 - $180/hr

Analyze complex healthcare datasets from multiple clinical sources. * Identify trends, patterns, and correlations in clinical and operational data. * Develop statistical models to support healthcare ...

Emendata

Data Analyst

San Francisco, CA · On-site

... data to analyzing the problem to turning the results into something actionable. We know that this ... in healthcare program integrity - safeguarding programs like Medicare and Medicaid by preventing ...

Emendata

Data Analyst

San Francisco, CA · On-site

... data to analyzing the problem to turning the results into something actionable. We know that this ... in healthcare program integrity - safeguarding programs like Medicare and Medicaid by preventing ...

Harper

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Health, dental, and vision insurance Requirements * 4+ years of analytics experience with direct ...

Midi Health

Data Analyst, Growth

San Francisco, CA · Hybrid

... care and improve healthcare outcomes for women. * Experience: 2-4 years of experience in data ... Analytical Capabilities: Ability to analyze conversion funnels and translate complex data points ...

Harper

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Health, dental, and vision insurance Requirements * 4+ years of analytics experience with direct ...

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Health, dental, and vision insurance Requirements * 4+ years of analytics experience with direct ...

Midi Health

Data Analyst, Growth

San Francisco, CA · On-site +1

... care and improve healthcare outcomes for women. * Experience: 2-4 years of experience in data ... Analytical Capabilities: Ability to analyze conversion funnels and translate complex data points ...

TecTammina

Sr Data Analyst

Pleasanton, CA

$95K - $120K/yr

... healthcare datasets and will translate client's business requirements into specific systems ... Build and implements Data Analytic solutions that serve as key decision support systems for the ...

TecTammina

Sr Data Analyst

Pleasanton, CA

$95K - $120K/yr

... healthcare datasets and will translate client's business requirements into specific systems ... Build and implements Data Analytic solutions that serve as key decision support systems for the ...

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

Manage standard, routine data analysis projects with limited supervision from initial request to ... Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA ...

Quest Global

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

Work with other Data Management Analysts to process data, analyze data and report findings ... Health Savings Account (HSA) * Disability Insurance (Short-Term and Long-Term) * Life and AD&D ...

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All JobsHealthcare Data Analyst JobsEntry Level Healthcare Data Analyst JobsEntry Level Healthcare Data Analyst Jobs in San Ramon, CA

Entry Level Healthcare Data Analyst information

See San Ramon, CA salary details

$14

$36

$69

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

As of Aug 22, 2026, the average hourly pay for entry level healthcare data analyst in San Ramon, CA is $36.80, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $41.11 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?

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 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.

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.

Can I become an entry level healthcare data analyst with no experience?

Entry level healthcare data analysts typically need some familiarity with data analysis tools like Excel, SQL, or statistical software, but many employers accept candidates with relevant coursework or certifications rather than extensive experience. Developing skills through online courses, internships, or certifications can help you qualify for entry-level positions even without prior work experience.

Can you be an entry level healthcare data analyst in healthcare?

Yes, entry-level healthcare data analysts can work in healthcare settings, often requiring basic knowledge of data analysis tools like Excel or SQL, and understanding of healthcare data and terminology. Many positions are open to candidates with relevant internships, certifications, or degrees in health informatics, data science, or related fields. Strong analytical skills and attention to detail are essential for entry-level roles in this field.

How to become an entry level healthcare data analyst with no experience?

To become an entry-level healthcare data analyst with no experience, focus on gaining foundational skills in data analysis, such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI. Pursuing relevant certifications, such as the Certified Health Data Analyst (CHDA), and completing online courses or internships can also improve your qualifications and understanding of healthcare data environments.

What are popular job titles related to Entry Level Healthcare Data Analyst jobs in San Ramon, CA?

For Entry Level Healthcare Data Analyst jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Healthcare Data Analyst jobs in San Ramon, CA look for?

The top searched job categories for Entry Level Healthcare Data Analyst jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Entry Level Healthcare Data Analyst jobs?

Cities near San Ramon, CA with the most Entry Level Healthcare Data Analyst job openings:

Entry Level Healthcare Data Analyst jobs near you
Infographic showing various Entry Level Healthcare Data Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,536 per year, or $36.8 per hour.

Healthcare Data Scientist

Medclinicx

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 16 days ago

Job description

Med Clinic X is a healthcare technology company focused on building advanced AI-driven digital health systems for healthcare organizations across the United States.

We design and develop healthcare SaaS platforms, patient portals, AI-powered clinical systems, telemedicine solutions, automation tools, and data-driven healthcare products for clinics, hospitals, and healthcare providers.

Our mission is to transform healthcare using data, machine learning, and intelligent systems that improve patient outcomes and operational efficiency.

Job Overview

We are seeking a Healthcare Data Scientist to design and build advanced analytics models, machine learning systems, and AI-driven healthcare solutions.

In this role, you will work with large-scale healthcare datasets from clinical systems, EHR platforms, and SaaS applications to build predictive models and intelligent systems that support healthcare decision-making.

You will collaborate with engineers, product teams, clinical stakeholders, and data analysts to develop AI solutions that power the next generation of digital healthcare products.

Key Responsibilities
  • Build predictive models for healthcare outcomes and clinical insights.
  • Develop machine learning algorithms using structured and unstructured healthcare data.
  • Design AI systems for patient risk prediction and operational optimization.
  • Train and evaluate models using real-world healthcare datasets.
Healthcare Data Science & Analytics
  • Analyze complex healthcare datasets from multiple clinical sources.
  • Identify trends, patterns, and correlations in clinical and operational data.
  • Develop statistical models to support healthcare decision-making.
  • Perform feature engineering for healthcare AI systems.
  • Support AI features for healthcare SaaS platforms and patient portals.
  • Improve personalization and automation in healthcare applications.
  • Analyze user behavior and system performance in digital health platforms.
  • Build data-driven insights for healthcare product teams.
  • Work with engineers to deploy machine learning models into production systems.
  • Collaborate with product managers to define AI-driven healthcare features.
  • Support integration of AI models with healthcare APIs and platforms.
  • Ensure scalability and reliability of healthcare AI systems.
Healthcare Technology Areas You Will Work With

Train and evaluate models for disease diagnosis, clinical risk mapping, and workflow assistant tools.

Predictive analytics systems

Build models to estimate readmission risks, hospital length of stay, and operational bottlenecks.

Support clinical decision-making by surfacing patient flags directly in doctor queues.

Engineer features from longitudinal patient charts to map cardiac, diabetic, and respiratory risk trajectories.

Clinical NLP engines

Leverage LLMs and clinical BERT to extract medical terms, intents, and symptoms from doctor notes.

Healthcare SaaS intelligence

Deploy SaaS intelligence layers optimizing doctor schedules and automating intake briefs.

Core Technical Requirements

Statistical & Predictive Modeling Required

Deep Learning (TensorFlow/PyTorch) Highly Valued

EHR/EMR Dataset architectures Highly Valued

HIPAA Compliance & MLOps Preferred

Required Qualifications
  • Bachelor’s or Master’s in Data Science, CS, Stats, ML, or related field.
  • Strong experience in statistical modeling and predictive machine learning.
  • Proficiency in Python and standard ML libraries (Pandas, Scikit-learn).
  • Experience with SQL and relational/non-relational database query optimization.
Preferred Qualifications
  • Experience in US healthcare or healthcare SaaS platforms.
  • Knowledge of HIPAA regulations, anonymization, and data privacy.
  • Experience working with large EMR/EHR datasets or clinical notes.
  • Knowledge of HL7, FHIR, or healthcare data standards.
Why Join Med Clinic X?
  • Build ML systems directly used to improve real-world US clinical delivery.
  • Analyze large-scale, high-complexity longitudinal patient datasets.
  • Collaborate with top-tier engineers and clinical decision makers.
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