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Remote Seasonal Data Analyst Jobs in Gilbert, AZ

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

Overview This is a remote role that may only be hired in the following locations: Arizona, North ... Certified Data Steward (CDS), Data Analysis Certified (DAC), Certified Information Management ...

Overview This is a remote role that may only be hired in the following locations: Arizona, North ... Certified Data Steward (CDS), Data Analysis Certified (DAC), Certified Information Management ...

Job Summary Sr. Healthcare Business Analyst TEEMA Contract Remote | Phoenix, AZ, United States The Opportunity Contract to Hire role Remote Responsibilities * Analyze healthcare data to identify ...

AI Data Architect

Phoenix, AZ · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Certifications such as AWS Certified Data Analytics - Specialty, Google Professional Data Engineer ...

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Remote Seasonal Data Analyst information

See Gilbert, AZ salary details

$33.9K

$82.4K

$135.6K

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

As of May 28, 2026, the average yearly pay for remote seasonal data analyst in Gilbert, AZ is $82,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

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

A Remote Seasonal Data Analyst needs strong analytical skills, proficiency in statistics, and a relevant bachelor's degree, such as in mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are crucial soft skills for adapting to remote, project-based work. These competencies ensure accurate data insights, effective collaboration, and productivity in a flexible, deadline-driven environment.

How does working remotely as a seasonal data analyst affect collaboration with team members and access to resources?

As a remote seasonal data analyst, you will typically collaborate with colleagues through digital platforms such as video meetings, chat tools, and shared project management systems. While you may not have face-to-face interactions, most organizations provide robust virtual onboarding and access to necessary databases and analytics tools. Proactive communication is key to staying aligned on goals and deadlines, and you’ll often participate in regular check-ins or team huddles. This setup allows for flexibility in work hours but requires strong self-management and the ability to quickly adapt to remote workflows.

What does a Remote Seasonal Data Analyst do?

A Remote Seasonal Data Analyst is responsible for collecting, processing, and interpreting data during peak periods or specific seasons, often working from a remote location. Their duties typically include analyzing datasets, creating reports, and providing actionable insights to help organizations make data-driven decisions. This role is often temporary, aligning with business cycles such as holidays, tax season, or major events. Remote Seasonal Data Analysts use tools like Excel, SQL, or data visualization software and collaborate with teams virtually. The flexibility of remote work and the seasonal nature make this job ideal for those seeking short-term or project-based opportunities.
What cities near Gilbert, AZ are hiring for Remote Seasonal Data Analyst jobs? Cities near Gilbert, AZ with the most Remote Seasonal Data Analyst job openings:
Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Apache Junction, AZ • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.