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Remote Data Analyst Jobs in Warren, NJ (NOW HIRING)

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Data Analytics Analyst II

Newark, NJ · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Data Analytics Analyst II

New York, NY · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Heavily focused on SQL, able to pull data from clarity, creating dashboards within Epic and Power BI, experience working in Snowflake. Required skills: SQL, Clarity Epic Certification, Snowflake

About the Role: AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

Showing results 41-60

Remote Data Analyst information

See Warren, NJ salary details

$35.3K

$85.8K

$141.2K

How much do remote data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data analyst in Warren, NJ is $85,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $100,700.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Warren, NJ? The most popular types of Data Analyst jobs in Warren, NJ are:
What are popular job titles related to Remote Data Analyst jobs in Warren, NJ? For Remote Data Analyst jobs in Warren, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Warren, NJ look for? The top searched job categories for Remote Data Analyst jobs in Warren, NJ are:
What cities near Warren, NJ are hiring for Remote Data Analyst jobs? Cities near Warren, NJ with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Warren, NJ as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,822 per year, or $41.3 per hour.

Senior Quality Data Analyst - Remote

EmblemHealth

New York, NY • Remote

Full-time

Re-posted 25 days ago


EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 303 rated insurance


Job description

Summary of Job

Support the Quality Management department in the development and maintenance of a monitoring and reporting structure for data reports and analysis related to the HEDIS-QARR project, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA.  Provide analysis of HEDIS-QARR projects, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA.  Develop meaningful insights and actionable analytics using advanced statistical and/or modeling analyses to drive quality and STARS performance.

Responsibilities 

  • Analyze monthly rate reports and stratify data to identify statistically significant trends. 
  • Evaluate effectiveness of complex quality improvement projects established for all Medicare and state-sponsored programs. 
  • Create reports to track, monitor and report on provider and network-wide quality performance, including performance towards Medicare Stars and NYSDOH quality goals. 
  • Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language. 
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues. 
  • Provide analytical and technical support in the design, development and maintenance of quality improvement and wellness-based initiatives.  
  • Work with various teams in Quality Management to develop needed tools to track, trend and directly impact measures results related to Quality Scores.  
  • Perform regular rate/impact /trending analysis and recommend corrective actions to meet quality targets. 
  • Maintain up-to-date knowledge and understanding of HEDIS/QARR/Star measure technical specifications. 
  • Support quality specific interoperability efforts. 
  • Support quality specific regulatory needs.

Qualifications

  • Bachelor's Degree in an analytical/quantitative field (healthcare management, finance, business, mathematics, engineering, applied stats/economics, or related).
  • Master's Degree  (Preferred) 
  • 4 - 6+ years of relevant, professional work experience in an analytical role  (Required) 
  • 2+ years of managed care/healthcare experience  (Preferred) 
  • Proficient in MS Office - Word, PowerPoint, Excel, Access  (Required) 
  • Advanced experience with relational database applications - SAS, R, SQL, or others  (Required) 
  • Experience with improving or automating processes using programming languages/software - Python, VBA, R, SAS, C++, etc.  (Required) 
  • Experience with and proficient in statistical software/programs - SAS, R, Stata, Minitab or others  (Required) 
  • Familiarity with Business Intelligence tools - Tableau, Power BI  (Preferred) 
  • Knowledge of HEDIS and Medicare Stars reporting processes  (Preferred) 
  • Strong communication skills - verbal, written, presentation, interpersonal  (Required)
Additional Information
  • Requisition ID: 1000002938
  • Hiring Range: $68,040-$118,800

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