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Remote Part Time Data Analytics Jobs in Ontario, CA

Novel Prep

Speech & Debate Coach

Irvine, CA · Remote

$50 - $80/hr

This is a fully remote, part-time position with compensation based on assigned students and ... Evidence analysis and source evaluation Competition Coaching * Guide students through tournament ...

Saratech

PLM Data Migration Application Engineer

Mission Viejo, CA · Remote

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analyze their current data sets and map data migration for PLM solutions effectivelyA working ... All full-time employees will receive 32 sick hours per year. Part time employees will receive 24 ...

Premier Academy Walnut

Private AP Science Tutor

Walnut, CA · On-site +1

  • Retirement

You should also be familiar with AP Biology lab investigations, data analysis, and free-response ... Position Type: Part-time typically 2-30 hours per week, depending on tutor's availability Flexible ...

Premier Academy Walnut

Private AP Science Tutor

Walnut, CA · On-site +1

  • Retirement

You should also be familiar with AP Biology lab investigations, data analysis, and free-response ... Position Type: Part-time typically 2-30 hours per week, depending on tutor's availability Flexible ...

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Showing results 1-20

All JobsData Analytics JobsRemote Part Time Data Analytics JobsRemote Part Time Data Analytics Jobs in Ontario, CA

Remote Part Time Data Analytics information

See Ontario, CA salary details

$24

$55

$96

How much do remote part time data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote part time data analytics in Ontario, CA is $55.70, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $63.08 per hour, depending on experience, location, and employer.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are popular job titles related to Remote Part Time Data Analytics jobs in Ontario, CA?

For Remote Part Time Data Analytics jobs in Ontario, CA, the most frequently searched job titles are:

What job categories do people searching Remote Part Time Data Analytics jobs in Ontario, CA look for?

The top searched job categories for Remote Part Time Data Analytics jobs in Ontario, CA are:

What cities near Ontario, CA are hiring for Remote Part Time Data Analytics jobs?

Cities near Ontario, CA with the most Remote Part Time Data Analytics job openings:

Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in Ontario, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $115,859 per year, or $55.7 per hour.

Marketing Advisor Sports Clubs & Leagues

iShare Inc

Redlands, CA • Remote

$50 - $52/hr

Part-time

Posted 3 days ago

New

Job description

Marketing Advisor – Sports Clubs & LeaguesJob Type: Independent Consultant / Advisor
Engagement: 3 Months, with potential extension
  Work Arrangement: Remote
Reporting To: Sales Team
  • Marketing advisor: Must have US sports clubs/ leagues experience

About the Opportunity
We are seeking a Senior Sports Marketing Advisor with deep expertise in sports marketing, fan engagement, campaign strategy, sponsorship activation, audience growth, CRM, digital marketing, and commercial marketing.
The advisor will support the organization in developing and positioning marketing solutions for sports clubs, leagues, teams, and related sports organizations. The role will focus on helping clients improve marketing effectiveness, fan engagement, personalization, campaign execution, and measurable revenue outcomes.
Key Responsibilities
Marketing & Business Development
  •  Build relationships with senior marketing, fan engagement, sponsorship, CRM, digital, and commercial leaders within sports organizations. 
  •  Support positioning of marketing solutions and communicate their business value and relevant use cases. 
  •  Participate in executive briefings, client discovery calls, opportunity discussions, and GTM planning. 
  •  Identify qualified sports marketing opportunities and support the sales cycle through SOW signing. 
  •  Provide market intelligence on sports marketing priorities, buying centers, challenges, and investment trends. 
  •  Identify adjacent opportunities across data, AI, analytics, digital operations, sponsorship, revenue growth, and fan experience. 
Sports Marketing Advisory
  •  Fan acquisition, retention, loyalty, and lifecycle marketing. 
  •  Campaign strategy, execution, measurement, and optimization. 
  •  Audience segmentation and personalization. 
  •  CRM, CDP, Fan 360, and marketing data activation. 
  •  Sponsorship activation and ROI measurement. 
  •  Digital, social, email, mobile, web, and omnichannel engagement. 
  •  Ticketing, memberships, merchandise, sponsorship, and subscription revenue growth. 
Sponsorship & Revenue Analytics
  •  Measure and improve sponsorship ROI. 
  •  Optimize sponsorship inventory and activation performance. 
  •  Identify opportunities to improve ticket sales and membership revenue. 
  •  Support dynamic pricing, subscription, merchandising, and commercial analytics initiatives. 
AI & Data Opportunities
  •  AI-powered fan engagement. 
  •  Predictive analytics and churn prediction. 
  •  Next-best-action recommendations. 
  •  GenAI-driven fan experiences. 
  •  Marketing and content optimization. 
  •  Fan 360 and personalized fan journeys. 
Required Qualifications
  • 15+ years of experience in sports marketing, fan engagement, CRM, sponsorship marketing, digital marketing, campaign management, marketing operations, or commercial marketing. 
  •  Strong experience working with sports clubs, leagues, teams, governing bodies, rights holders, or sports properties. 
  •  Experience with major professional sports organizations, leagues, or sports properties is highly preferred. 
  •  Strong executive presence and ability to engage with CMOs, CROs, sponsorship leaders, fan engagement leaders, digital leaders, and data/analytics executives. 
  •  Proven ability to translate sports marketing challenges into business and GTM opportunities. 
  •  Strong understanding of sports business operations and commercial models. 
  •  Knowledge of CRM, CDP, loyalty/membership platforms, fan engagement technologies, data & analytics, AI, and digital transformation. 
Network Requirements
Established relationships with:
  •  Chief Marketing Officers (CMOs) 
  •  Chief Revenue Officers (CROs) 
  •  Sponsorship Leaders 
  •  Fan Engagement Leaders 
  •  Digital Transformation Leaders 
  •  Data & Analytics Leaders 
  •  Senior executives across sports clubs, leagues, teams, and sports properties 
Success Metrics
  •  Marketing-led executive introductions generated. 
  •  Qualified sports marketing opportunities sourced. 
  •  Strategic meetings arranged with key decision-makers. 
  •  Marketing solution discussions initiated. 
  •  Adjacent marketing, data, AI, and analytics opportunities identified. 
  •  Pipeline and revenue influenced. 
  •  SOWs supported or influenced through signing. 
Engagement Details
  • Duration: 3 months initially, with potential extension. 
  • Work Arrangement: Remote. 
  • Reporting: Sales Team. 
  • Scope: Support the end-to-end sales cycle through SOW signing. 

This is a remote position.