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Remote Data Analysis Jobs in California (NOW HIRING)

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through ...

Turo

Data Analyst

San Francisco, CA · On-site +1

$134K - $176K/yr

Conduct exploratory analysis to uncover product insights and solve business challenges. * Support ... Telecommuting and/or remote employment permitted. For this role, the target base salary range in ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

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Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in California? The most popular types of Data Analysis jobs in California are:
What are popular job titles related to Remote Data Analysis jobs in California? For Remote Data Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in California look for? The top searched job categories for Remote Data Analysis jobs in California are:
What cities in California are hiring for Remote Data Analysis jobs? Cities in California with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in California as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Senior Data Intelligence Analyst (Health Equity Analyst) - Remote

Senior Data Intelligence Analyst (Health Equity Analyst) - Remote

Cedars Sinai

Los Angeles, CA • On-site, Remote

$116K - $169K/yr

Full-time

Posted 27 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

37th of 1,020 rated hospitals

Job description


Grow your career at Cedars-Sinai!
Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.
The organization's Healthtech excellence was acknowledged again, this time by the esteemed "CHIME Digital Health Most Wired" recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification-among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.
Why work here?
Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.
What you will be doing:
The Senior Health Equity Analyst/ Data Intelligence Analyst works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Produces data sets, reports, ad-hoc requests, dashboards, etc. Conducts data analysis in support of a variety of analytic solutions.
  • Writes moderately sophisticated structured Query Language (SQL) codes and queries. Analyzes complex problems and issues using data from internal and external sources.
  • Demonstrates a strong understanding of report analysis and development. Triages intake of data requests and seeks an understanding of business needs.
  • Applies knowledge of healthcare and critical thinking skills in the analysis of business request and makes recommendations for solution/s to solve challenges.
  • Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts; provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers.
  • Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners.
  • Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.
  • Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. In addition, using current and projected data, provides recommendations.
  • Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. Handles relationship with external vendors.
  • Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Manages testing projects as necessary.
  • Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.

*Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas*
Qualifications
Experience Requirements:
Five (5) plus years' experience with SQL and demonstrated ability with a range of query tools such as Python, R, Oracle, SAS, Crystal Reports, Business Objects, Microsoft SQL, Tableau, etc.
Developing Epic Inpatient Clarity reports.
Hands on experience performing reporting analysis and developing custom reports.
Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology.
Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.
Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers.
Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts.
Educational Requirements:
Bachelor's Degree in Computer Science, Information Technology, or related quantitative field.
Epic Clarity Certification preferred. (Epic Inpatient preferred)
SQL Server certification preferred.
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