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Hourly Remote Data Analyst Jobs in Springfield, MA

Archgroup

Director, Data Architect (Remote)

Hartford, CT · Remote

$153K - $193K/yr

Partner with analytics teams to ensure data models support dashboards, adhoc analysis, and ... LI-Remote #LH1 For individuals assigned or hired to work in the location(s) indicated below, the ...

Archgroup

Director, Data Architect (Remote)

Hartford, CT · Remote

$153K - $193K/yr

Partner with analytics teams to ensure data models support dashboards, adhoc analysis, and ... LI-Remote #LH1 For individuals assigned or hired to work in the location(s) indicated below, the ...

Georgia IT Inc

Data Engineer - Remote

Hartford, CT · Remote

$115.50K - $138.70K/yr

Data Engineer Hartford, CT or Remote Contract No third-party C2C Job Responsibilities: As a Data ... Analyze large sets of structured and semi structured data for business analytics and ETL design.

DataAnnotation

Investment Analyst

Hartford, CT · Remote

$50 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work ...

DataAnnotation

Portfolio Analyst

Hartford, CT · Remote

$50 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high ...

DataAnnotation

Sales & Trading Analyst

Hartford, CT · Remote

$50 - $60/hr

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work ...

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Hourly Remote Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

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

As of May 28, 2026, the average yearly pay for hourly remote data analyst in Springfield, MA is $82,351.00, 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 an Hourly Remote Data Analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are Hourly Remote Data Analysts?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

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

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

Data Annotation

Holyoke, MA • 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.

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