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Remote Applied Data Analytics Jobs (NOW HIRING)

Xforia, Inc.

Data Analytics & Technical Analyst"

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 ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

Azumo

Data Scientist, Applied AI - Remote

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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

Waabi

Senior / Staff Applied Scientist

Pittsburgh, PA · On-site +1

$146K - $280K/yr

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 ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

A successful Applied Data Scientist at Client thrives on both analytical creativity and production rigor. Your work will directly shape how Client Solutions delivers value to clients and internal ...

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

As of Aug 9, 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 remote applied data analytics?

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?

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.

Can a remote applied data analytics get a remote job?

Yes, remote applied data analytics professionals can find remote job opportunities, especially as many companies offer remote positions for data analysis roles. Success often depends on skills in data tools like SQL, Python, or R, and the ability to work independently in a virtual environment.

Can you work remotely in remote applied data analytics?

Remote applied data analytics roles are commonly available, allowing professionals to work from home or other locations. These jobs often require skills in data analysis tools like Python, R, or SQL, and may involve collaboration via online platforms. Many companies offer flexible schedules for remote data analysts, depending on project needs and company policies.
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Remote Applied Data Analytics jobs near you
Infographic showing various Remote Applied Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics & Technical Analyst"

Xforia, Inc.

Remote

Contractor

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

Job description

Position: Data Analytics & Technical Analyst
Location: 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 Dashboards and Data & Analytics projects at HARMAN. You will primarily interact with HARMAN business users and aid them in bug fixes to their Qlik dashboards, addressing and resolving dashboard concerns & errors, optimization recommendations, enablement activities, and any general inquiries surrounding Data & Analytics platforms and assets at HARMAN.

Your Team
  • This position will report into the Manager of Data & Analytics Operations and has no direct reports.

What You Will Do
  • Collaborate with business users to resolve Qlik dashboards bugs and address any concerns to ensure alignment with business goals and objectives.
  • Automation of Dashboard runbook.
  • Maintain response time standards to promptly address and resolve tickets, ensuring minimal impact on user productivity.
  • Follow ticketing processes via HARMAN internal ticketing tool and email.
  • Provide exceptional customer support for Data & Analytics platforms and assets' and ensure overall customer satisfaction.
  • Ensure compliance with established policies and procedures.
  • Collaborate cross functionally to develop and deliver user training and support for system changes, including user manuals and documentation.

What You Need
  • Bachelor's degree in computer science, information systems, or a related field
  • Proficient in Qlik Sense development and visualization software, including scripting and data modeling.
  • Experience with data integration and programming languages (SQL)
  • Minimum of 3-5 years of experience in a customer facing support role preferably in a large organization
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
  • Ability to work independently and manage multiple tasks and priorities in a fast-paced environment.
  • Strong analytical and problem-solving skills, with the ability to think creatively and strategically, with a high attention to detail.

What is Nice to Have
  • Experience in a technical support role.
  • Prior experience with Data Visualization Platforms
  • Prior experience in Data Analytics/Analysis
  • Ability to be flexible and adaptable in a fast-paced/high-pressure environment, while maintaining good customer relations.
  • familiarity with version control tools

Apply