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Health Informatics Analyst Jobs in Connecticut (NOW HIRING)

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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Health Informatics Analyst information

See Connecticut salary details

$40.4K

$81.4K

$118.9K

How much do health informatics analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for health informatics analyst in Connecticut is $81,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $95,100.00 per year, depending on experience, location, and employer.

What is a Health Informatics Analyst job?

A Health Informatics Analyst is responsible for analyzing healthcare data, optimizing information systems, and ensuring the effective use of technology in medical settings. They work with electronic health records (EHRs), data analytics, and reporting tools to improve patient care and operational efficiency. Their role involves collaborating with healthcare professionals to implement data-driven solutions that enhance decision-making and compliance with regulations. Strong analytical skills, knowledge of healthcare IT systems, and an understanding of data privacy laws are essential for this job.

What is a healthcare informatics analyst?

A healthcare informatics analyst is a professional who manages and analyzes health data to improve patient care and operational efficiency. They often work with electronic health records (EHRs), data management tools, and require knowledge of healthcare standards and data privacy regulations.

Is there a demand for health informatics?

The demand for health informatics professionals, including Health Informatics Analysts, is strong due to the increasing adoption of electronic health records and health IT systems. Employers seek candidates with skills in data analysis, healthcare technology, and certifications like CHI or CPHIMS, reflecting a growing need for expertise in managing healthcare data and improving patient outcomes.

What are the typical daily responsibilities of a Health Informatics Analyst?

As a Health Informatics Analyst, your daily tasks often include collecting, analyzing, and interpreting healthcare data to help improve clinical workflows and patient outcomes. You may work closely with IT professionals and clinical staff to customize electronic health record systems, generate reports, and troubleshoot data integrity issues. Additionally, you’ll be involved in training end-users, developing data-driven insights for decision-making, and ensuring compliance with healthcare privacy regulations. This diverse mix of activities makes the role both challenging and rewarding for those interested in the intersection of technology and healthcare.

Will health informatics be taken over by AI?

Health informatics analysts work with healthcare data and technology, and AI tools are increasingly used to automate data analysis, improve decision-making, and enhance patient care. While AI can augment their work, human expertise remains essential for interpreting complex data, ensuring data quality, and managing ethical considerations. The role is expected to evolve with AI integration but not be fully replaced.

What are 5 skills needed in health informatics?

Health informatics analysts need strong analytical skills to interpret healthcare data, proficiency with electronic health record (EHR) systems, knowledge of healthcare workflows and regulations, programming or data management skills, and effective communication abilities to collaborate with healthcare professionals. Familiarity with data standards like HL7 and certifications such as Certified Health Data Analyst (CHDA) can also enhance job performance.

What are the key skills and qualifications needed to thrive in the Health Informatics Analyst position, and why are they important?

A Health Informatics Analyst requires a solid background in health information systems, data analysis, and healthcare processes, often supported by a degree in health informatics, computer science, or a related field. Familiarity with EHR systems, SQL, data visualization tools, and certifications like RHIA or CAHIMS are highly valued. Strong analytical thinking, problem-solving, and effective communication are important soft skills for success in this position. These skills enable the analyst to bridge the gap between clinical staff and IT, ensuring data-driven improvements in healthcare delivery and patient outcomes.

What are popular job titles related to Health Informatics Analyst jobs in Connecticut? For Health Informatics Analyst jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Health Informatics Analyst jobs in Connecticut look for? The top searched job categories for Health Informatics Analyst jobs in Connecticut are:
What cities in Connecticut are hiring for Health Informatics Analyst jobs? Cities in Connecticut with the most Health Informatics Analyst job openings:
Infographic showing various Health Informatics Analyst job openings in Connecticut as of June 2026, with employment types broken down into 4% As Needed, 21% Full Time, 73% Part Time, 1% Temporary, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $81,439 per year, or $39.2 per hour.
Data Science Tutor

Data Science Tutor

Varsity Tutors

Bridgeport, CT • Remote

$18 - $40/hr

Part-time

Posted 29 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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