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Remote Data Analyst Jobs in Davis, CA (NOW HIRING)

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

The Business Data Analyst collaborates with business teams to determine needs and opportunities for leveraging data in support of business monitoring and decision management. Applies a range of ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have ... Sacramento, CA * United States - Remote Responsibilities * Collecting, synthesizing, and ...

... Remote Salary: $100,000 - $115,000 About Us: Capio Group is a California-based Information ... data analyst or in other quantitative analysis or related disciplines, such as researcher, data ...

... data in the country, distributing its products over a vast network of websites. PeopleFinders | Remote | Reports to Performance Marketing Leadership Job Purpose The Senior BI & Marketing Analyst is ...

Business Analyst

Sacramento, CA · Remote

$120K - $130K/yr

Capio Group is looking for an experienced Business Analyst! Full-time employee - Remote Salary ... This integrated solution will eliminate duplicate and redundant data systems which would improve ...

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Showing results 1-20

Remote Data Analyst information

See Davis, CA salary details

$36.8K

$89.3K

$147K

How much do remote data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data analyst in Davis, CA is $89,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $104,800.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Davis, CA?

The most popular types of Data Analyst jobs in Davis, CA are:

What are popular job titles related to Remote Data Analyst jobs in Davis, CA?

For Remote Data Analyst jobs in Davis, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Davis, CA look for?

The top searched job categories for Remote Data Analyst jobs in Davis, CA are:

What cities near Davis, CA are hiring for Remote Data Analyst jobs?

Cities near Davis, CA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,324 per year, or $42.9 per hour.

Advisor Data Analyst-Remote

NAVA Software Solutions

Sacramento, CA • On-site, Remote

Full-time

Re-posted 15 days ago


Job description

NAVA Software solutions is looking for an Advisor Data Analyst
Details:
Role: Advisor Data Analyst - 8 Positions.
Location: Sacramento, CA - Remote
Duration: 12 months
Summary: This is a key role within the Population Health Management (PHM) project. The role will develop and maintain ad-hoc reports and dashboards, and design, develop, and validate analytics and delivery documentation to support the PHM Service. The ideal candidate has experience with population health management and in Healthcare Effectiveness Data and Information Set, Health Quality, and other relevant areas.
Your role in our mission
• Designs, implements and maintains complex databases, access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods to ensure that client requirements are satisfied.
• Reviews and edits data requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and client specifications.
• Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing market demands and consistency across databases.
• Applies data analysis or data modeling techniques to establish, modify or maintain complex data structures and their associated components to increase efficiency of structures and components.
• Investigates and resolves technical matters of significance within databases by analyzing and determining possible causes to ensure client satisfaction.
• Provides work direction and guidance to less experienced personnel using the data structures and associated components to ensure that business specifications are met.
• Provides training in data modeling techniques and incorporating data modeling into information systems to ensure consistency in development and maintenance of database structures across the company.
• Research business objectives and data requirements of client to ensure that developed databases meet client needs.
• Communicates with clients about data-related discrepancies and other matters of significance to ascertain information and correct errors.
What we're looking for
• Bachelor's degree or equivalent combination of education and experience.
• Bachelor's degree in information systems, computer science or related field preferred
• Six or more years of experience in programming or data analysis.
Experience working with data administration, repository management, database creation techniques, and data warehousing standards, strategies, and tools.
• Experience in HEDIS, Health Quality, PHM, and other relevant areas

• Collect, analyze, and report on HEDIS data from various sources, including claims, medical records, and electronic health records.
• Stay up to date on changes to HEDIS specifications and ensure compliance with reporting requirements.
• Experience working with company used database and statistical software and product configurations.
• Experience working with security software packages, domain structures, user authentication and digital signatures.
• Experience working with relevant programming languages and relational databases for database management and general software development.
• Proficiency in data analysis tools such as SQL, Python, R, or similar languages. Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with configuring and installing various operating systems and application software.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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