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Remote Entry Level Data Analyst Jobs in Jackson, NJ

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 ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... make data-driven recommendations for improvements Qualifications Bachelor's degree in Computer ...

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Convert data into insights through analytics and modelling * Report on customer data to support ... Flexible and hybrid working environment including tailored hours, remote working, career breaks ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Applying advanced analytics, quantitative tools, and modeling techniques, you'll interpret and ...

Showing results 21-40

Remote Entry Level Data Analyst information

See Jackson, NJ salary details

$13

$32

$61

How much do remote entry level data analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote entry level data analyst in Jackson, NJ is $32.98, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $36.83 per hour, depending on experience, location, and employer.

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

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant coursework or certifications. Many companies offer remote work options for entry-level analysts, especially in tech, finance, and consulting industries.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

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

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are popular job titles related to Remote Entry Level Data Analyst jobs in Jackson, NJ? For Remote Entry Level Data Analyst jobs in Jackson, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Jackson, NJ look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Jackson, NJ are:
What cities near Jackson, NJ are hiring for Remote Entry Level Data Analyst jobs? Cities near Jackson, NJ with the most Remote Entry Level Data Analyst job openings:
Infographic showing various Remote Entry Level Data Analyst job openings in Jackson, NJ as of August 2026, with employment types broken down into 83% Full Time, 3% Part Time, 3% Temporary, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,590 per year, or $33 per hour.

Senior Data Analyst (NYC Hybrid)

Empassion

New York, NY • Remote

$120K - $160K/yr

Full-time

Re-posted 23 days ago


Job description

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
  • Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy.
  • Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.)  healthcare metrics from claims and product data.
  • Help to validate regular claims and eligibility data refreshes.
  • Act as a healthcare data SME on a rapidly growing Data & Analytics team.
  • Design, develop, and maintain algorithms and data models, using SQL and dbt.
  • Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making to stakeholders, using Looker.
  • Create documentation and training materials for technical and non-technical users of our data products
What you will bring
  • 2+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams
  • Deep familiarity with healthcare claims and eligibility data
  • Strong SQL skills
  • Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers)
  • Proficiency with BI/reporting tools (Looker, Tableau, etc.)
  • Excitement about working in a fast-moving startup environment
  • A bias for action and enthusiasm for fast iteration
 
Nice to have:
  • Proficiency with dbt and templated SQL
  • Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
  • Experience with statistical analysis software (Python/pandas, R, etc.)
The compensation range represents total earnings, including both base salary and target bonus. In addition to competitive base salary and bonus opportunities, we offer equity grants for qualifying roles, comprehensive medical, dental, and vision coverage, and a 401(k) retirement plan to support your long-term financial well-being.
 
Empassions' philosophy is to provide competitive compensation that aligns with our mission, business, and employee needs while remaining financially responsible and applying it fairly, equitably, consistently, and transparently. We are a tech-enabled remote healthcare company. We value the impact and significance of all team functions and roles equally, regardless of where you live. 
We plan to update our approach, data, and practices to ensure that we align with the market at year-end 2025. 
 
This strategy ensures that our employees are paid fairly in the market for their skills, experience, and performance. We use current data to draft compensation numbers and will update the data yearly. Performance is a highly valued and meaningful driver of employee compensation within Empassion's market position. Our performance-enhanced compensation philosophy rewards employees who consistently meet and exceed performance expectations through bonus incentives at all levels.
 
We pay through consistent and compliant practices.
We have team-oriented goals and recognize performance against those goals through compensation.
Everyone is an owner and is expected to add value and contribute; when Empassion wins, we all win.
We are designed to be fair and equitable and conduct a pay equity audit annually to ensure fair and equitable compensation level by level, job family by job family.
Ready to Make a Difference?
 
If you’re driven by data, healthcare, and impact, apply and let’s talk!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.