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Remote Analytics Jobs in California (NOW HIRING)

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ...

TEKsystems

Remote Ontologist

San Francisco, CA · Remote

$65/hr

Partner with project managers, data analysts, and subject matter experts to gather requirements ... remote position. Application Deadline This position is anticipated to close on Jul 17, 2026. About ...

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Remote Analytics information

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$59.7K

$122.2K

$172.7K

How much do remote analytics jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote analytics in California is $122,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $151,500.00 per year, depending on experience, location, and employer.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What is a Remote Analytics job?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

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

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

What are the most commonly searched types of Analytics jobs in California? The most popular types of Analytics jobs in California are:
What are popular job titles related to Remote Analytics jobs in California? For Remote Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Analytics jobs in California look for? The top searched job categories for Remote Analytics jobs in California are:
What cities in California are hiring for Remote Analytics jobs? Cities in California with the most Remote Analytics job openings:
Remote Analytics jobs near you
Infographic showing various Remote Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $122,227 per year, or $58.8 per hour.
Senior Data Engineering & Analytics Lead

Senior Data Engineering & Analytics Lead

PM2CM

Pomona, CA • On-site, Remote

Full-time

Medical, Retirement

Re-posted 8 days ago

Job description

PM2CM, Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management.
Our goal is simple: To offer and deliver the "best in class" project management, construction management and project controls services that allow our clients to build with confidence.
To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client's corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals.
This is a remote role with periodic in-person team meetings in Pomona, CA.
About the Role:
We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization.
Key Responsibilities:
  • Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets.
  • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems.
  • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders.
  • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions.
  • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities.
  • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners.
  • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Requirements
Required Qualifications:
  • 7+ years of experience designing and delivering complex data engineering solutions.
  • Expert proficiency in Microsoft Office, advanced Excel (including Power Query), SAS, and SAP.
  • Experience with Business Intelligence tools for data visualization and analytics.
  • Strong analytical foundation with the ability to solve complex problems and translate them into business value.

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent combination of education/experience).
  • Advanced proficiency in SQL.
  • Knowledge of utility business operations.
  • Lean Six Sigma Black Belt or equivalent certification.

Benefits
What We Offer:
  • Remote work flexibility with periodic in-person team meetings in Pomona, CA.
  • Opportunity to lead critical enterprise data initiatives and influence strategic decisions.

Benefits
100% paid health insurance, 401K match and profit sharing.
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About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014

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