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Remote Traffic Data Analyst Jobs in Riverside, CA

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

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Utilize financial software and Excel data analysis tools to interpret complex financial data ... Remote Company Description Our Company theLender was created to make a difference. As a group of ...

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Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

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You can work remote from home and would be expected to come on-site at office per the schedule ... The EHR Analyst evaluates system performance, implements enhancements, manages data reporting, and ...

Data Engineer (Remote)

Irvine, CA ยท Remote

$115K - $150K/yr

Write and optimize transformations to support reporting and analytics * Manage code in Git and contribute to a clean, well-documented codebase * Orchestrate data workflows with Dagster * Parse and ...

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Remote Traffic Data Analyst information

See Riverside, CA salary details

$26.1K

$65.9K

$103.3K

How much do remote traffic data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote traffic data analyst in Riverside, CA is $65,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $82,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Traffic Data Analyst vs Remote Digital Marketing Analyst?

AspectRemote Traffic Data AnalystRemote Digital Marketing Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Marketing, Business, or related; knowledge of analytics and marketing tools
Work EnvironmentData-focused, analytical tasks, often in tech or analytics firmsMarketing campaigns, digital strategy, often in advertising or marketing agencies
Employer & Industry UsageTech companies, e-commerce, transportation sectorsAdvertising agencies, retail, online services

The Remote Traffic Data Analyst primarily focuses on analyzing traffic patterns and data to optimize online or physical traffic flow, while the Remote Digital Marketing Analyst concentrates on marketing strategies and digital campaigns. Both roles require analytical skills and familiarity with data tools, but they serve different business functions and industries.

What does a Remote Traffic Data Analyst do?

A Remote Traffic Data Analyst is responsible for collecting, analyzing, and interpreting data related to traffic patterns, transportation systems, and vehicle movements, all while working from a remote location. They use various data sources, such as sensors, cameras, and GPS, to identify trends, forecast congestion, and provide insights that help improve transportation planning and safety. Their work supports decision-making for government agencies, urban planners, and private companies seeking to optimize traffic flow and infrastructure.

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

To thrive as a Remote Traffic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or transportation engineering, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and GIS software, as well as experience with traffic data collection systems, is essential. Attention to detail, problem-solving ability, and effective remote communication are valuable soft skills for this position. These competencies ensure accurate data interpretation, actionable insights, and seamless collaboration in supporting transportation planning and decision-making.

What are some common challenges faced by Remote Traffic Data Analysts, and how can they be effectively managed?

Remote Traffic Data Analysts often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and maintaining clear communication with team members across different locations. Managing large datasets while adhering to strict deadlines can also be demanding. Effective management of these challenges involves utilizing advanced data analytics tools, establishing regular virtual check-ins with the team, and maintaining meticulous documentation. Proactively seeking feedback and staying updated with the latest industry tools can further enhance efficiency and data quality.
What are popular job titles related to Remote Traffic Data Analyst jobs in Riverside, CA? For Remote Traffic Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Traffic Data Analyst jobs in Riverside, CA look for? The top searched job categories for Remote Traffic Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Traffic Data Analyst jobs? Cities near Riverside, CA with the most Remote Traffic Data Analyst job openings:
Infographic showing various Remote Traffic Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 4% Internship, 80% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,865 per year, or $31.7 per hour.
Junior Data Analyst

Junior Data Analyst

Datafied

Anaheim, CA โ€ข On-site, Remote

Full-time

Re-posted 13 days ago


Job description

We are seeking a detail-oriented and analyticalย Junior Data Analystย to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision-making. The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel.

Requirements

Key Responsibilities

  • Analyze data using statistical techniques and deliver clear, actionable reports.
  • Design, develop, and maintain databases and data collection systems to optimize data quality and efficiency.
  • Extract and clean data from various sources to ensure accuracy and consistency.
  • Identify trends, patterns, and correlations in complex datasets to support business initiatives.
  • Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability.
  • Collaborate with cross-functional teams to prioritize information needs and support business objectives.
  • Document and update standard operating procedures for data-related tasks and reporting processes.
  • Proactively identify opportunities for process improvements and automation.
  • Ensure timely and accurate completion of assigned tasks with a commitment to quality.

Required Qualifications

  • Proficiency in Microsoft Excel (including pivot tables, formulas, and macros).
  • Strong analytical and problem-solving skills.
  • Experience working with large datasets and multiple data sources.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.
  • Self-motivated with a strong sense of ownership and attention to detail.

Remote Work Requirements

  • Hard-wired ethernet connection.
  • Safe and secure workspace.
  • Ability to maintain confidentiality in a remote setting.

Preferred Qualifications

  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with SQL or other query languages.
  • Exposure to Python, R, or other data analysis tools.
  • Experience working in a fast-paced or cross-functional environment.
  • Experience working withย Microsoft SharePointย and the broaderย Microsoft Office Suiteย (e.g., Outlook, Teams, Word, PowerPoint)

Key Competencies

  • Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Ability to manage multiple tasks and meet deadlines.
  • Analytical mindset with a proactive approach to problem-solving.

Benefits

  • Collaborative culture with a focus on innovation and continuous learning.
  • Competitive compensation and benefits package.