2

Part Time Data Analyst Jobs in Rialto, CA (NOW HIRING)

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with identifying collaborative solutions. This position will required some in-office presence and support.

Part-time and full-time positions available. For over 20 years, Autism Spectrum Therapies (AST) has ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

Be Seen First

Nuevo, Perris and San Jacinto areas Part-Time Hours: 3pm - 7pm $500.00 ABA Sign-On Bonus Are you ... Training in assessment, data analysis, report writing, and programming. * Supervision through BBS ...

next page

Showing results 1-20

Part Time Data Analyst information

See Rialto, CA salary details

$34.1K

$82.9K

$136.4K

How much do part time data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for part time data analyst in Rialto, CA is $82,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $97,300.00 per year, depending on experience, location, and employer.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

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 and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are the most commonly searched types of Data Analyst jobs in Rialto, CA? The most popular types of Data Analyst jobs in Rialto, CA are:
What job categories do people searching Part Time Data Analyst jobs in Rialto, CA look for? The top searched job categories for Part Time Data Analyst jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Part Time Data Analyst jobs? Cities near Rialto, CA with the most Part Time Data Analyst job openings:

Data Analyst (part-time)

True Mission HR

Orange, CA

$35 - $38/hr

Part-time

Posted 23 days ago


Job description

Mariposa Women and Family Center is expanding our mission and community-based impact. We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with identifying collaborative solutions. This position will required some in-office presence and support.

Established in 1977, Mariposa Women and Family Center provides high-quality, affordable mental health and substance abuse counseling, life skills, and supportive services to women and families in need. Our mission is to empower and support vulnerable populations through compassionate care and community engagement.

Position Summary: The Data Analyst serves a key role within the administration of programs including, but not limited to, administering accurate data collection, providing and analyzing data and reports, monitoring outcomes, support of operations with data to ensure programmatic deliverables are met and, ensuring improvements based on data and analytics. The Data Analyst, will ensure the program (CalWORKs Behavioral Health Program) maintains reliable data in the OQ system, and oversees the reporting of data to clients (internal and external).

Responsibilities:

  • Ensures programs maintain a focus on 100% accuracy of outcomes by reviewing, analyzing, and monitoring data for completeness and readiness for reporting.
  • Provide data-informed feedback to program staff and leadership, working proactively and collaboratively to develop strategies for improving outcomes, and communicate any data gaps or delays that may impact reporting timelines.
  • Attend all data and outcomes-related meetings and ensure the program remains proactive in meeting all data collection requirements, including adapting to changes at the local, county, and state levels, and supporting compliance with reporting timelines and requirements (e.g., CalOMS and other mandated reports).
  • Ensure program data accurately reflects outcomes, performance trends, strengths, and areas for improvement.
  • Promote the use of data to support continuous quality improvement and ensure a sustained focus on achieving positive client outcomes and meeting program objectives.
  • Produce timely, consistent, and relevant data reports across all required domains, and support the accurate and timely submission of all required program data and reports to client(s).
  • Advise program management and client staff on data analytics best practices, reporting standards, and data management procedures to improve overall data quality and efficiency.
  • Maintain compliance with HIPAA regulations, ethical standards, and professional boundaries in all data handling and reporting activities.
  • Identify program trends and outcomes through data analysis using OQ Analyst, data manipulation tools, statistical methods, and programming techniques.
  • Proactively engage with program staff to ensure data needs are established and reporting functionality to meet those needs.
  • Attend weekly meetings and ad hoc meeting as required (both remotely and in-person)
  • Perform additional duties as assigned by the Program Director.

Qualifications/Requirements:

  • Prior related experience with County or County contracted electronic health records preferred.
  • Background in statistical methods and techniques.
  • Knowledge or ability to quickly learn data collection system and all available reports through this system.
  • Advanced knowledge of Microsoft (Excel and Access) software.
  • Ability to conduct critical thinking and analyses of program data, develop reports on data assessments, trends in the data, and areas of needed improvement for program management and staff.
  • Ability to create charts and graphs for use in staff meetings focusing on brainstorming ideas for outcome improvement as well as for dissemination to the County BHS (Behavioral Health Services) and the community stakeholders when appropriate.
  • Must have planning and organizing skills with attention to detail and accuracy.
  • Effective organizational, oral and written communication skills and excellent interpersonal skills.
  • Must show strong initiative, excise sound judgment, and take appropriate action when necessary.
  • Ability to effectively prioritize and manage time.
  • B.A. or B.S. degree preferred in information systems, data science, or related field preferred or A.A. degree with 3+ years of related experience.

Special Requirements:

  • Background (livescan) clearance required

Benefits and Terms:

  • Hybrid (period in-office support is required)
  • Part-time (20 hours per week)
  • Non-exempt (hourly)
  • Pay rate: $35-$38 / hour

Mariposa Women and Family Center is an equal opportunity employer and makes employment decisions based on business needs, job requirements, and individual qualifications. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other status protected by applicable federal, state, or local law. Additionally, and consistent with California law, qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable regulations. Reasonable accommodations will be provided to qualified individuals with disabilities and applicants throughout the recruitment process upon request.