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Remote Health Data Analyst Jobs in Summit, NJ (NOW HIRING)

Senior Data Analyst

New York, NY ยท Remote

$94K - $118K/yr

For more information visit paywithextend.com ABOUT THE ROLE The Senior Data Analyst is a high ... Comprehensive health coverage for you and your family * Maternity and paternity leave benefits

Product Data Analyst

New York, NY ยท 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 ...

Sr. Manager, Data Analyst

Whippany, NJ ยท On-site +1

$107K - $165K/yr

Significant healthcare domain knowledge to provide meaningful context for data analysis and reporting. Core Competencies * Analytical and logical reasoning * Oral and written communication * Project ...

Sr. Manager, Data Analyst

Whippany, NJ ยท On-site +1

$87K - $109K/yr

Significant healthcare domain knowledge to provide meaningful context for data analysis and reporting. Core Competencies * Analytical and logical reasoning * Oral and written communication * Project ...

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

Showing results 41-60

Remote Health Data Analyst information

See Summit, NJ salary details

$36.1K

$87.8K

$144.5K

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

As of Aug 17, 2026, the average yearly pay for remote health data analyst in Summit, NJ is $87,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $103,100.00 per year, depending on experience, location, and employer.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

What are the most commonly searched types of Health Data Analyst jobs in Summit, NJ?

The most popular types of Health Data Analyst jobs in Summit, NJ are:

What are popular job titles related to Remote Health Data Analyst jobs in Summit, NJ?

For Remote Health Data Analyst jobs in Summit, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Health Data Analyst jobs in Summit, NJ look for?

The top searched job categories for Remote Health Data Analyst jobs in Summit, NJ are:

What cities near Summit, NJ are hiring for Remote Health Data Analyst jobs?

Cities near Summit, NJ with the most Remote Health Data Analyst job openings:

Senior Data Analyst

Extend Enterprises, Inc

New York, NY โ€ข Remote

$94K - $118K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

ABOUT EXTEND

Extend offers businesses powerful spend controls and expense workflows that drive efficiency, improve security and visibility, and better manage company spending. Our primary product is a spend and expense management platform that allows SMBs to create on-demand virtual cards, automate reconciliation, and manage employee expense reports. We have built the first virtual card platform of its kind, directly integrated with processors, networks, and the technology that supports banking across the industry. We offer several virtual card products including an app-as-a-service that banks can offer business customers with their existing credit cards, a suite of virtual card APIs for those looking to build custom payment solutions, and we also offer secure connectivity to key banking and payment services that enable 3rd-parties to integrate and embed payments into their software.

VC-funded Extend is headquartered in Manhattan and has recently raised $20m in capital from top fintech investors. With 60 passionate team members and exciting momentum โ€“ after launching a new subscription offering over Summer โ€™25, thereโ€™s never been a better time to join our team!

For more information visit paywithextend.com
 

ABOUT THE ROLE
The Senior Data Analyst is a high-impact individual contributor. The ideal candidate combines strong business acumen, analytical rigor, and exceptional communication skills to transform complex data into actionable business insights. This role owns core business analytics while applying advanced methods to evaluate trends, validate hypotheses, and guide strategic decisions.

As a strategic analytics partner, this individual will help leaders identify opportunities, evaluate business performance, measure the impact of key initiatives, and guide decisions through thoughtful analysis. Beyond reporting what happened, they will uncover why it happened, assess confidence in the findings, and recommend practical actions that drive business outcomes.

This role is ideal for someone who enjoys solving business problems, influencing decision-making, and serving as a trusted advisor across Product, Business Development, Operations, Finance, and Executive Leadership.

AT EXTEND, YOUโ€™LL:

Own Core Business Analytics

  • Define, maintain, and continuously improve dashboards and reporting for revenue, SaaS performance, customer growth, and product adoption.
  • Establish clear metric definitions and governance to ensure consistency and integrity across teams.
  • Serve as the trusted source of truth for core business KPIs.

Statistical Analysis & Experimental Rigor

  • Translate complex data into clear narratives and recommendations for leadership.
  • Apply statistical methods to evaluate trends, cohort performance, and business experiments.
  • Assess sample size, variance, and statistical significance when interpreting business outcomes.
  • Distinguish signal from noise and clearly communicate confidence levels in findings.
  • Design and evaluate A/B tests and other controlled experiments in partnership with Product and BD.
  • Provide structured guidance on when data is sufficient to inform decisions, and when it is not.

Advanced Analytics & Forecasting

  • Conduct advanced analyses to identify drivers of customer retention, churn, product adoption, revenue growth, and business performance.
  • Support forecasting and scenario planning initiatives.
  • Identify leading indicators, emerging trends, and potential business risks.
  • Experience with predictive modeling is a plus but not required.

AI-Enabled Analytics & Automation

  • Leverage AI tools to accelerate analysis, enhance modeling workflows, and surface deeper insights.
  • Experiment with AI-assisted anomaly detection, forecasting support, and exploratory data analysis.
  • Identify opportunities to automate recurring analytical tasks using scripting or AI-enabled tools.
  • Promote responsible and secure use of AI in analytics.

Data Quality & Infrastructure Collaboration 

  • Monitor data integrity and investigate anomalies.
  • Partner with Engineering to improve data pipelines and resolve discrepancies.
  • Contribute to building scalable, durable analytics infrastructure.

THE CANDIDATE 

Required Experience & Skills

  • 5+ years of experience in analytics, data science, or statistics (ideally in SaaS/ tech)
  • Advanced SQL and strong experience working with large datasets; strong data validation and analytical rigor
  • Excellent business acumen: consistently translates ambiguous questions into measurable definitions, prioritizes work by impact, and ties analysis to decisions and outcomes.
  • Proficiency in statistical analysis and experimentation (hypothesis testing, confidence intervals, regression analysis, variance analysis, design and analyzing of A/B testing), clear distinction between correlation vs causation; experience with Python, R, or similar for statistical modeling and advanced analysis.
  • Strong understanding of SaaS metrics (ARR, retention, churn, LTV, CAC, product adoption) and how to connect them to product and growth levers.
  • Executive-ready communication and stakeholder partnership: comfortable explaining uncertainty/tradeoffs and influencing senior leadership; proactive, high-ownership operating style..
  • High ownership / proactive execution: independently identifies opportunities, drives projects end-to-end, and communicates progress without needing heavy direction.
  • Understanding of data privacy and responsible AI practices.

WHAT WE OFFER

  • Competitive compensation package
  • Equity for allโ€“our success is your success
  • Unlimited vacationโ€“and we want you to use it
  • 401K matching
  • Flexible work options
  • Comprehensive health coverage for you and your family
  • Maternity and paternity leave benefits
  • Reimbursement for gym memberships
  • A referral bonusโ€“bring your friends!
  • Work with and learn from functional experts across disciplines

The salary range for this role is $115,000 - $150,000. Your final base salary will be determined based on various factors which may include, but are not limited to location, work experience, skills, knowledge, education and/or certifications. This role is eligible for commission subject to Extendโ€™s Sales Incentive Plan. 

To all recruitment agencies, Extend does not accept agency resumes. Please do not forward resumes to our jobs alias, Extend employees or any other company location. Extend is not responsible for any fees related to unsolicited resumes

Extend is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, citizenship or immigration status, or any other status protected by law.