2

Remote Applied Data Analytics Jobs (NOW HIRING)

Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics ...

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... applied • Capture and maintain data lineage (end-to-end technical flows) 4. Data Quality & Issue ...

Board Certified Behavior Analyst

Brooklyn, NY · Remote

$78K - $95K/yr

Board Certified Behavior Analyst We are seeking a Board Certified Behavior Analyst (BCBA) to provide remote Applied Behavior Analysis (ABA) services to children and families across multiple states.

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... Communicate analysis, design and results clearly in English. * Partner with DevOps, data ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

... applied statistics and hands-on experience applying these concepts Education and/or Experience ... as a data engineer, software engineer, data scientist, financial risk analyst, business ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

next page

Showing results 1-20

Remote Applied Data Analytics information

See salary details

$24

$54

$94

How much do remote applied data analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote applied data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is a Remote Applied Data Analytics job?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a Remote Applied Data Analytics professional, and why are they important?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

More about Remote Applied Data Analytics jobs
What cities are hiring for Remote Applied Data Analytics jobs? Cities with the most Remote Applied Data Analytics job openings:
What are the most commonly searched types of Applied Data Analytics jobs? The most popular types of Applied Data Analytics jobs are:
What states have the most Remote Applied Data Analytics jobs? States with the most job openings for Remote Applied Data Analytics jobs include:
Infographic showing various Remote Applied Data Analytics job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 30% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Child Welfare Systems Analytics Strategist

Eagle Technologies, Inc.

Arlington, VA • On-site, Remote

$138K - $179K/yr

Full-time

Posted 11 days ago


Job description

Company Introduction:
Eagle Technologies, Inc. is an innovative information technology company that designs, develops, and manages solutions for government and corporate clients. We deliver end-to-end solutions designed and implemented to meet each client's specific and unique requirements, leveraging their existing investments while laying the groundwork for modernization and expansion. From web-based applications to enterprise data warehousing, big data and analytics, and business intelligence, we deploy and manage diverse platforms and hosting environments that meet the government's cybersecurity and privacy requirements.
Position Description:
The Child Welfare Systems Analytics Strategist applies their previous relevant experience in child welfare and child immigration systems to design templates for applying the latest approaches to data analytic activities of existing raw databases and policies for developing and implementing data strategies to update and improve performance indicators utilized to monitor and measure performance outcomes related to child safety, health, and timely discharges and family unifications.
The successful candidate will lead the design of project initiatives for data analytics, including developing recommendations for data and digital architecture improvements and reporting on trends and recommendations for improved automation.
This position includes but is not limited to information automation considerations for management and reporting value, as well as ensuring strategies align with industry best practices.
The Analyst will stay up to date with the latest approaches for developing and implementing data strategies that are innovative and impactful.
Minimum qualifications:
  • Master's Degree in child welfare or related degree in computer science, statistics, or data information systems
  • Minimum of ten years of industry-related professional experience using applied data analytics in the child welfare and immigration field and program services or similar state-wide or local child welfare systems and programs.
  • Familiar with childcare licensing and accreditation regulations and quality childcare programming.
  • Working experience in the following:
    • Analytics platforms (Power BI and Tableau)
    • Data architecture/framework, data warehouses, algorithmic programming, and data visualization
    • Diagnoses of models-in-use and steps to transform/adapt models for greater utility
  • Strong problem-solving, analytical, and critical thinking skills
  • Strong understanding of the application of data analytics for informing management
  • Excellent analytical, communication, and problem-solving skills
  • Strong organizational and leadership skills

Additional Requirement:
Candidates must be willing to pass a company background check.
We are an equal opportunity employer and value diversity. All employment is assessed on qualifications, merit, and business needs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected categories covered under local law