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Remote Data Analyst Fresh Graduate Jobs in Gilbert, AZ

MUFG

Payments & Wires, Data & Process Analyst

Tempe, AZ · On-site +1

$78K - $106K/yr

Creates a clear path into roles such as data stewardship, data governance, business analysis, risk ... a remote, cross‑location environment Education * Bachelor's degree in business, finance, or ...

DataAnnotation

Pricing Analyst - AI Trainer

Phoenix, AZ · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

PNC Bank

Fraud Model Analyst

Phoenix, AZ · On-site +1

$45K - $103.50K/yr

As a Fraud Model Analyst within PNC's Technology organization, you will be based in Pittsburgh PA ... Data Correlation and Visualization This position may be eligible for remote work in select ...

Alignerr

Data Security & DLP Analyst

Phoenix, AZ · Remote

$38 - $60/hr

Data Security & DLP Analyst $38-60/hr Remote Freelance CODING We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for data ...

Affirm

Analyst II, Full Stack

Phoenix, AZ · On-site +1

$124K - $174K/yr

What you'll doLeverage advanced data analytics to derive insights and optimize credit ... The majority of our roles are remote and you can work almost anywhere within the country of ...

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Remote Data Analyst Fresh Graduate information

See Gilbert, AZ salary details

$33.9K

$82.4K

$135.6K

How much do remote data analyst fresh graduate jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data analyst fresh graduate 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 Data Analyst Fresh Graduate, and why are they important?

To thrive as a Remote Data Analyst Fresh Graduate, you need a solid understanding of statistics, data interpretation, and a relevant degree in fields like mathematics, statistics, or computer science. Familiarity with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills, especially for remote collaboration and reporting insights. These skills and qualities are crucial for delivering accurate analyses and actionable recommendations in a distributed work environment.

What are some common challenges faced by fresh graduates working remotely as data analysts, and how can they overcome them?

Fresh graduates working remotely as data analysts often encounter challenges such as limited guidance, difficulty in understanding company data systems, and feeling isolated from team members. To overcome these, it is helpful to proactively schedule regular check-ins with supervisors, participate in virtual team meetings, and seek mentorship opportunities within the organization. Leveraging online collaboration tools and maintaining open communication can also help build relationships and ensure efficient workflow, even when working from different locations.

What does a Remote Data Analyst do, especially for fresh graduates?

A Remote Data Analyst, particularly for fresh graduates, is responsible for collecting, processing, and analyzing data to help organizations make informed decisions—all while working from a remote location. They use statistical tools and software like Excel, SQL, or Python to interpret data sets, identify trends, and generate reports. Fresh graduates in this role often collaborate with teams online, learn new analytical methods, and contribute to projects while building their skills and experience. The position offers flexibility and the opportunity to work with diverse industries without needing to be onsite.

What is the difference between Remote Data Analyst Fresh Graduate vs Remote Data Analyst?

AspectRemote Data Analyst Fresh GraduateRemote Data Analyst
Required CredentialsBachelor's degree in relevant field; internship or entry-level experienceBachelor's or higher; some roles prefer certifications like SQL or Python
Work EnvironmentRemote, entry-level position, often part-time or internshipRemote or hybrid, with more complex projects and responsibilities
Employer & Industry UsageStartups, entry-level roles in tech, finance, healthcareEstablished companies, mid-level to senior roles across industries

The main difference between a Remote Data Analyst Fresh Graduate and a Remote Data Analyst lies in experience and responsibilities. Fresh graduates typically have limited experience and focus on learning and supporting data tasks, while experienced analysts handle complex analysis, reporting, and decision-making. Both roles often require similar educational backgrounds, but the level of expertise and project scope distinguishes them.

What are the most commonly searched types of Data Analyst Fresh Graduate jobs in Gilbert, AZ? The most popular types of Data Analyst Fresh Graduate jobs in Gilbert, AZ are:
What are popular job titles related to Remote Data Analyst Fresh Graduate jobs in Gilbert, AZ? For Remote Data Analyst Fresh Graduate jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Fresh Graduate jobs in Gilbert, AZ look for? The top searched job categories for Remote Data Analyst Fresh Graduate jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Data Analyst Fresh Graduate jobs? Cities near Gilbert, AZ with the most Remote Data Analyst Fresh Graduate job openings:
Remote Data Analyst Fresh Graduate jobs near you
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

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

Data Annotation

Glendale, 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 next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.We're growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital marketsLeverage your education and work experience to check the reasoning and accuracy of an AI Assistant's workPush the models with complex, real-world scenarios and edge cases to see where their reasoning 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 strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.Benefits:This is a full-time or part-time REMOTE positionYou'll be able to choose which projects you want to work onYou can work on your own scheduleProjects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume workResponsibilities:Give AI chatbots diverse and complex problems and evaluate their outputsEvaluate the quality produced by AI models for correctness and performanceQualifications:Fluency in English (native or bilingual level) Detail-orientedProficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance managementA current, in progress, or completed Masters and/or PhD is is preferred but not requiredNote: Payment is made via PayPal. We will never ask for any money from you.

PayPal will handle any currency conversions from USD. This is an independent contract position.

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