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Remote Data Analyst Assistant Jobs in Edison, NJ

DriveWealth

Senior Data Analyst, RegTech

New York, NY · On-site +1

$150K - $170K/yr

We are seeking a Senior Data Analyst to focus on the creation, maintenance, and monitoring of ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

We are a tech-enabled remote healthcare company. We value the impact and significance of all team ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Wand

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 ...

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All JobsData Analyst JobsRemote Data Analyst Assistant JobsRemote Data Analyst Assistant Jobs in Edison, NJ

Remote Data Analyst Assistant information

See Edison, NJ salary details

$29K

$74.2K

$141.8K

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

As of Jul 16, 2026, the average yearly pay for remote data analyst assistant in Edison, NJ is $74,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $86,400.00 per year, depending on experience, location, and employer.

Can a data analyst be a virtual assistant?

A data analyst can perform virtual assistant tasks if they have skills in organization, communication, and basic administrative tools. However, the roles are distinct: data analysts focus on data interpretation and reporting, while virtual assistants handle administrative support. Combining both roles may require additional training in office management and communication tools.

How does a Remote Data Analyst Assistant typically collaborate with team members and stakeholders?

As a Remote Data Analyst Assistant, collaboration is often facilitated through digital tools such as video conferencing platforms, shared project management software, and cloud-based data repositories. You’ll regularly communicate with data analysts, project managers, and sometimes clients to clarify data requirements, receive feedback, and update progress. Proactive communication and clear documentation are key to ensuring your analyses align with team objectives and timelines. While you may work independently on data preparation and basic analysis tasks, most projects involve frequent check-ins and collaborative problem-solving sessions.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst Assistant, and why are they important?

To thrive as a Remote Data Analyst Assistant, you need a solid understanding of data analysis principles, basic statistics, and proficiency in spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, Google Sheets, SQL, and visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for collaborating remotely and ensuring data accuracy. These skills are vital for delivering reliable analytical support and maintaining productivity in a distributed work environment.

How can I make 2000 a week working from home?

A remote data analyst assistant can increase earnings by taking on multiple clients, working overtime, or offering specialized services such as data visualization or reporting. Building a strong skill set in tools like Excel, SQL, or Python and gaining certifications can also help command higher rates. Consistent high-quality work and effective time management are essential for reaching a weekly income of $2000.

What is a Remote Data Analyst Assistant?

A Remote Data Analyst Assistant is a professional who supports data analysts and data teams by performing tasks such as data collection, data cleaning, basic analysis, and report preparation, all while working from a remote location. They often use software tools to organize and process data, generate visualizations, and help ensure data accuracy. Their role is crucial in helping organizations make data-driven decisions efficiently, even when team members are not all in the same physical office.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer remote work options, and candidates typically need strong analytical skills and relevant experience or certifications to qualify.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but a remote data analyst assistant's role involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. AI is a complement to data analysts, enhancing productivity rather than replacing the need for skilled professionals in the field.

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

AspectRemote Data Analyst AssistantRemote Data Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, supporting data teams with entry-level tasksRemote or on-site, performing complex data analysis and reporting
Employer & Industry UsageBusinesses, startups, and organizations needing support rolesCompanies requiring in-depth data insights and strategic analysis
Common Search & ComparisonOften searched together for entry-level roles or support positionsCompared for advanced data analysis roles or career progression

The Remote Data Analyst Assistant typically handles entry-level data support tasks with basic credentials, working in a remote environment for various organizations. In contrast, the Remote Data Analyst performs more complex analysis, often requiring higher education and experience. Both roles are common in data-driven industries, but they differ in responsibilities and skill levels.

What are the most commonly searched types of Remote Data Analyst jobs in Edison, NJ? The most popular types of Remote Data Analyst jobs in Edison, NJ are:
What are popular job titles related to Remote Data Analyst Assistant jobs in Edison, NJ? For Remote Data Analyst Assistant jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Assistant jobs in Edison, NJ look for? The top searched job categories for Remote Data Analyst Assistant jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Data Analyst Assistant jobs? Cities near Edison, NJ with the most Remote Data Analyst Assistant job openings:
Remote Data Analyst Assistant jobs near you
Lead Quality Data Analyst - Remote

Lead Quality Data Analyst - Remote

EmblemHealth

New York, NY • Remote

Other

Re-posted 3 days ago

EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

9th of 281 rated insurance

Job description

Summary of Job

Lead and develop meaningful insights, actionable analytics and applicable plans and /or corrective actions through appropriate advanced statistical and/or modeling analyses.  Incorporate diverse data sources across internal and external platforms to continuously improve the plan's healthcare qualitymetric performance (HEDIS/QARR/Star/Accreditation) to drive quality improvement initiatives/projects.  Identify improvement opportunities and provide guidance for needed changes.  Provide support in the satisfaction of internal and external requirements in support of EmblemHealth's HEDIS/QARR metric improvement and reporting responsibility.  Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.

Responsibilities 

  • Lead the development of complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.  
  • Develop and maintain quality dashboards and measure profiles utilizing data visualization tools. 
  • Analyze monthly rate reports and stratify data to identify statistically significant trends. 
  • Perform monthly rate/impact /trending analysis and recommend corrective actions to meet quality targets. 
  • Conduct evaluation studies and root-cause analyses to identify improvement area(s) and understanding of the marketplace. Evaluate program effectiveness for complex quality improvement projects. Provide analytical and evaluation guidance to internal department for simple projects. 
  • Generate population or targeted profiles with frequency, categorical, and spatial analyses. 
  • Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language. 
  • Develop customized models and scenario analyses to monitor and review projected measure scores/incentive results through the year. Lead and take corrective actions to meet established goals and/or overall quality metric goals. 
  • Create, design, and implement new analytics tools and visualizations to supplement and support decision-making for departmental activities. 
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues. 
  • Maintain up-to-date knowledge and understanding of HEDIS/QARR/Star measure technical specifications. 
  • Support quality specific interoperability efforts. 
  • Support quality specific regulatory needs. 
  • Collaborate with internal quality management teams to assist on quality improvement initiatives. 
  • Provide analytical and technical support for design, development and maintenance of quality improvement and wellness initiatives. 
  • Develop additional elements to prepare plan-specific and provider-specific reports/information related to quality, services, and other areas.

Qualifications

  • Bachelor's Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fields. 
  • Master's Degree  (Preferred)
  • 5 - 8+ years of relevant, professional work experience  (Required) 
  • 5+ years of experience in any analytical field   (Required) 
  • 3+ years of managed care/healthcare experience   (Preferred) 
  • Proficient in Microsoft Office - Word, PowerPoint, Excel, Access  ( (Required) 
  • Advanced experience with relational database applications - SAS, R, SQL, or others   (Required) 
  • Experience with improving/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) 
  • Experience with and proficient in data visualization tools - Power BI, Tableau   (Required)) 
  • Knowledge of HEDIS & QARR reporting processes and Medicare Stars   (Preferred) 
  • Strong communication skills - verbal, written, presentation, interpersonal   (Required)
Additional Information
  • Requisition ID: 1000002937
  • Hiring Range: $77,760-$149,040

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