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

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Design robust and scalable data models that support analytical and operational reporting ...

Initio Capital

Data Operations Analyst

San Francisco, CA · On-site +1

... remote, flexible environment - Collaborate with operators, founders, consultants, analysts, and ... data, or operations is helpful but not required WHY APPLY Career Launch helps candidates build ...

Parafin

Finance Data Lead

San Francisco, CA · Remote

$210K - $250K/yr

Leverage AI tools (e.g., Claude, ChatGPT, Copilot) to accelerate analysis, automate repetitive tasks, and surface insights faster * Partner with Engineering and Data teams to ensure financial data is ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive models * Build features for predictive models * Partner with data analysts to integrate the results ...

Robert Half

Operational Strategic Analyst

Walnut Creek, CA · Remote

$80K - $90K/yr

We are looking for an Operational Strategic Analyst to join our remote team and help translate complex data into meaningful business guidance. This position offers the chance to work closely with ...

New

Akraya Inc.

Business Analyst : 26-02152

San Francisco, CA · On-site +1

$38 - $43/hr

Tableau (advanced), Data Analysis (advanced), SQL (intermediate), Python (intermediate), Excel (advanced) Contract Type: W2 Only Duration: 6+ Months Location: SFO, CA (#LI - Remote) Pay Range: $38 ...

PG

Business Analyst, Senior

Oakland, CA · On-site +1

$12K - $15K/mo

Data Analysis: Compiles and analyzes data. May develop and maintain data models for what-if ... ITS, remote sensing data, etc) * Budgeting & Forecasting: Develops or works with budgets and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Partner with data analysts, data scientists, ML/AI engineers, BI developers, and business ... Employee divides their time between in-office and remote work. Access to an office location is ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Mercor

Data Analysis Expert - Evaluator

San Francisco, CA · Remote

$80 - $120/hr

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

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Showing results 41-60

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Berkeley, CA

Remote Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data analyst in Berkeley, CA is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $118,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Berkeley, CA? The most popular types of Data Analyst jobs in Berkeley, CA are:
What are popular job titles related to Remote Data Analyst jobs in Berkeley, CA? For Remote Data Analyst jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Berkeley, CA look for? The top searched job categories for Remote Data Analyst jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Data Analyst jobs? Cities near Berkeley, CA with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions Inc

San Francisco, CA • Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 12 days ago

Job description

Data Engineer – Data & AI, Supply Chain (Remote)
 
We are seeking an experienced Data Engineer to join the Data & AI Supply Chain Organization. This role will focus on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across Supply Chain domains including Sourcing, Transportation, and Warehouse Management (WMS).
The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, SQL, and dbt, along with expertise in building scalable ETL/ELT pipelines and modern data warehouse solutions.
 
This is a 40-hour per week, 18-month contract (possible extension), a remote role.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
●    Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
●    Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
●    Ingest, transform, validate, and publish data from multiple enterprise source systems.
●    Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
●    Develop reusable data transformation components following engineering standards and best practices.
●    Optimize data processing performance, reliability, and cost efficiency.
●    Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
●    Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
●    Create and maintain technical documentation including data flows, solution designs, and implementation details.
 
Requirements:
●    Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
●    4+ years of Data Engineering experience.
●    Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
●    Strong experience with:
○    Dataproc
○    BigQuery
○    SQL
○    dbt (Data Build Tool)
●    Experience designing and building scalable ETL/ELT pipelines.
●    Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
●    Experience working with Git-based version control and CI/CD practices.
●    Strong analytical, troubleshooting, and problem-solving skills.
●    Excellent communication and collaboration skills.
 
Preferred Qualifications:
•    Experience with Apache Airflow.
•    Experience with Apache Kafka or other event streaming platforms.
•    Experience with PySpark.
•    Python programming experience for data engineering and automation.
•    Knowledge of data quality, metadata management, and data governance principles.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Data Engineer – Data & AI, Supply Chain (Remote) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $35/hr. - $40.50/hr.
#LI-SW1