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Remote Applied Data Analytics Jobs (NOW HIRING)

Current DHS Suitability Clearance * at least six (6) years of demonstrated experience acting as a senior data analyst, including at least three years applied to national security, defense security ...

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 ...

... applied and integrated in the organization. Key responsibilities include gathering and managing ... Utilize data analytics tools and software (e.g., Google Analytics, social media analytics platforms ...

Data Scientist

Manhattan, NY ยท On-site +1

QUALIFICATIONS: โ€ข 4 to 8+ years of experience in data science, applied analytics, or predictive modeling. โ€ข Strong experience building predictive or statistical models including forecasting ...

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 ...

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

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 ...

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 ...

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 ...

We're hiring an Associate, Provider Data Analytics to join our Network Operations team. Oscar is ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

We're hiring an Associate, Provider Data Analytics to join our Network Operations team. Oscar is ... This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully ...

Senior / Staff Applied Scientist

Pittsburgh, PA ยท 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 ...

Senior / Staff Applied Scientist

San Francisco, CA ยท 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 ...

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Remote Applied Data Analytics information

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

As of Jul 13, 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:
What job categories do people searching Remote Applied Data Analytics jobs look for? The top searched job categories for Remote Applied Data Analytics jobs are:
Infographic showing various Remote Applied Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Lead Analyst- Data Analytics

Lead Analyst- Data Analytics

Amyx, Inc.

Washington, DC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview
Amyx is seeking to hire a Lead Analyst - Data Analytics to support our Department of Homeland Security, CISA contract in the Washington DC area.
Responsibilities
  • Manage data analtyics activities across our data analysis task
  • Must have the ability to communicate accurate information

Qualifications
Required:
  • Current DHS Suitability Clearance
  • at least six (6) years of demonstrated experience acting as a senior data analyst, including at least three years applied to national security, defense security, or homeland security data.
  • a degree in the fields of Mathematics, Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of quantitative based coursework (in the fields of mathematics, statistics, or engineering), including at least six credit hours of calculus.
  • experience in presenting and communicating the results of analysis to project stakeholders.
  • relevant certifications in the field of data science (e.g., Microsoft Certified Solutions Expert: Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional)

Benefits include:
  • Medical, Dental, and Vision Plans (PPO & HSA options available)
  • Flexible Spending Accounts (Health Care & Dependent Care FSA)
  • Health Savings Account (HSA)
  • 401(k) with matching contributions
  • Roth
  • Qualified Transportation Expense with matching contributions
  • Short Term Disability
  • Long Term Disability
  • Life and Accidental Death & Dismemberment
  • Basic & Voluntary Life Insurance
  • Wellness Program
  • PTO
  • 11 Holidays
  • Professional Development Reimbursement

Please contact talent@amyx.com with any questions!
Amyx is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. Amyx is a VEVRAA federal contractor and we request priority referral of veterans.
Physical Demands
Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.