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Hourly Remote Data Analyst Jobs (NOW HIRING)

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

We are looking for a Data Analyst who is curious, collaborative, and skilled at turning complex ... Ability to work independently, manage priorities, and collaborate effectively in a remote ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Showing results 41-60

Hourly Remote Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Sep 7, 2026, the average yearly pay for hourly remote data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an hourly remote data analyst?

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.

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 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.

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.

More about Hourly Remote Data Analyst jobs

What cities are hiring for Hourly Remote Data Analyst jobs?

Cities with the most Hourly Remote Data Analyst job openings:

What are the most commonly searched types of Remote Data Analyst jobs?

The most popular types of Remote Data Analyst jobs are:

What states have the most Hourly Remote Data Analyst jobs?

States with the most job openings for Hourly Remote Data Analyst jobs include:

Infographic showing various Hourly Remote Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Re-posted 23 hours ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.