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Remote Health Informatics Data Analyst Jobs in Santa Clara, CA

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Data Analyst II 100% Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and ...

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges ... We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data ...

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

... health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field ... Exceptional SQL skills for complex analytical environments and proficiency in Python for data ...

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

The Enterprise Analytics team is central to our data-forward strategy, driving insights into every ... from a remote office location. Benefits This role is eligible for healthcare including medical ...

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Remote Health Informatics Data Analyst information

See Santa Clara, CA salary details

$49.9K

$100.5K

$146.8K

How much do remote health informatics data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote health informatics data analyst in Santa Clara, CA is $100,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $117,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Health Informatics Data Analyst vs Remote Healthcare Data Specialist?

AspectRemote Health Informatics Data AnalystRemote Healthcare Data Specialist
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management, Data Analytics; similar certifications
Work EnvironmentRemote, healthcare organizations, clinics, hospitalsRemote, healthcare providers, insurance companies, health tech firms
Industry UsageUsed for analyzing health data, improving patient outcomes, supporting clinical decisionsUsed for managing health data, ensuring data accuracy, compliance, and reporting

The Remote Health Informatics Data Analyst focuses on analyzing health data to improve clinical outcomes, while the Remote Healthcare Data Specialist manages and ensures the accuracy of health data. Both roles require similar credentials and often operate remotely within healthcare settings, but their core responsibilities differ in analysis versus data management.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Santa Clara, CA?

The most popular types of Health Informatics Data Analyst jobs in Santa Clara, CA are:

What are popular job titles related to Remote Health Informatics Data Analyst jobs in Santa Clara, CA?

For Remote Health Informatics Data Analyst jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Health Informatics Data Analyst jobs in Santa Clara, CA look for?

The top searched job categories for Remote Health Informatics Data Analyst jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Health Informatics Data Analyst jobs?

Cities near Santa Clara, CA with the most Remote Health Informatics Data Analyst job openings:

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 21 days ago


Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.