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Remote Data Analyst Jobs in Rohnert Park, CA (NOW HIRING)

This role is fully remote or hybrid eligible. Key Responsibilities: Project Finance Modeling * Own ... Own the investor data room and serve as the primary finance point of contact for investors and ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Remote, Must be local to the Napa, CA Area You're the kind of person who brings clarity to ... scheduling, preparation, data analysis, and follow-up * Monitoring client health trends and ...

Client Strategy Associate

Napa, CA · Remote

$65K - $80K/yr

Remote, Must be local to the Napa, CA Area You're the kind of person who brings clarity to ... scheduling, preparation, data analysis, and follow-up * Monitoring client health trends and ...

Bay Area California (Remote) Duration : 12+ Months skills: * At least 4 years of experience in ... Strong analytical and communication skills. * Working knowledge of Software development ...

Senior Salesforce Engineer

Bodega Bay, CA · Remote

$128K - $157K/yr

Data Cloud experience is nice to have but not required. * This team highly values SFDC ... This includes requirements refining, analysis, business process modeling, and workflow development ...

Showing results 21-40

Remote Data Analyst information

See Rohnert Park, CA salary details

$37.7K

$91.5K

$150.6K

How much do remote data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data analyst in Rohnert Park, CA is $91,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $107,400.00 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 Rohnert Park, CA?

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

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,542 per year, or $44 per hour.

FP&A Director

BoxPower

Bodega Bay, CA • Remote

Full-time

Re-posted 10 days ago


Job description

About BoxPower 

BoxPower is on a mission to provide clean, reliable, affordable energy ANYWHERE. We design, build, and operate the largest fleet of utility-owned microgrids in the country — partnering with major utilities, tribal nations, and independent developers to deliver speed to power where interconnection takes years. This is a pivotal finance role at the intersection of clean energy, project finance, capital markets, and strategic growth. 

About the Role 

BoxPower is seeking an FP&A Director to build and own the company's financial planning, analysis, and performance management function. This is a senior role that sits at the intersection of strategic finance and business partnership — you will own the financial models, the annual budget, the operating forecast, and the financial reporting that goes to the executive team and Board of Directors. 

  
The FP&A Director owns the planning and intelligence layer. You will be deeply embedded across the business, partnering with Sales, Engineering, Project Management and Delivery to build the models and frameworks that help leaders make better decisions faster.
This role is fully remote or hybrid eligible. 
 
Key Responsibilities: 

Project Finance Modeling 

  • Own the design and build of financial forecast models supporting multiple scenarios, with the majority of revenue tied to BoxPower solution design, construction, and O&M for utility and C&I customers 
  • Ensure proper application of ASC 606 revenue recognition across all project-based revenue streams 
  • Direct the integration of BOM analysis and delivery-team milestone roadmaps into forecast models, partnering directly with delivery leadership
  • Own the full 3–5 year integrated three-statement model 
  • Lead the annual budget process end-to-end, from kickoff through department negotiation to board approval 


Board & Investor Reporting 

  • Prepare the financial section of the quarterly board package for the Executive team’s review  
  • Own the investor data room and serve as the primary finance point of contact for investors and lenders 


KPI Framework Design 

  • Assist the company-wide KPIs, what metrics matter, how they're calculated, and how they cascade from company to department level 
  • Set the standard for how financial and operational performance is measured and communicated across the organization.


Scenario Planning & Decision Support 

  •  Prepare the capital allocation framework and lead strategic option analysis for major business decisions 
  • Assist the M&A diligence, build-vs-buy analysis, and pricing strategy work as the quantitative backbone for leadership decision-making 


Revenue Analytics & Sales Finance 

  • Own the bottoms-up revenue forecast built from CRM pipeline data & BOM  
  • Assist development of the annual Sales Plan financial model, including commission expense structure and modeling which is owned by the Sales team 


FP&A Systems Ownership 

  • Own the FP&A function's systems strategy; partner with Accounting on NetSuite as the ERP of record 
  • Lead the evaluation and selection of a CPM tool to automate forecasting, while overseeing interim Excel-based modeling 
  • Set the roadmap for FP&A tooling and process maturity as the company scales 


Data Collection & Financial Reporting  

  • Own the collection, consolidation, and validation of financial data from ERP systems, project management tools, and internal stakeholders  
  • Review and ensure the high quality of the project dashboards, trackers, and reports that provide real-time visibility into project costs, margins, and cash flow built and maintained by the Project Management team  
  • Review and ensure the high quality of the financial reporting packages prepared by the accounting department.  
  • Reconcile actuals vs. budget across projects and cost centers, identifying and investigating variances by partnering with the project managers.  
  • Facilitate the departmental budget reviews  

Excel Modeling & Analysis  

  • Design and maintain sophisticated Excel financial models for project economics, scenario analysis, and cost forecasting  
  • Build reusable templates for FP&A workflows including budgeting, cash flow forecasting, and project pro formas  
  • Automate Excel-based processes using AI based tools available  
  • Analyze project cost data across the full lifecycle — pricing draft procurement, construction, and commissioning — to identify cost drivers and opportunities  

AI-Assisted Workflow & Automation  

  • Actively use AI coding tools (e.g., Claude, HubSpot, NetSuite, etc.) that automate data extraction, transformation, and reporting tasks  
  • Identify manual, repetitive finance workflows and lead the effort to replace them with scripted or AI-assisted processes  
  • Collaborate with the cross functional teams to deploy and iterate on internal AI tools that increase team output and analytical quality  
  • Document automated workflows and maintain clear handoff materials for the broader finance team  

Required Qualifications:  

  • Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field. 
  • 7+ years of progressive FP&A experience, with at least 3 years in a senior FP&A Manager, Finance Director, or equivalent role. 
  • Expert financial modeling: three-statement models, DCF/IRR/NPV, scenario and sensitivity analysis. You build models that others trust and that survive investor due diligence. 
  • Demonstrated ownership of an annual budget process, long-range plan, and rolling forecast in a growth-stage company. 
  • Experience preparing board- or investor-grade financial reporting: you have presented to a board, built an investor data room, or supported a financing process. 
  • Advanced Excel proficiency
  • Strong data skills: comfortable pulling from ERP systems, building automated reports, and working with financial data at the transaction level. 

Preferred Qualifications: 

  • CPA, CFA, or MBA  
  • Experience in renewable energy, clean technology, project finance, construction or capital-intensive infrastructure businesses.