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

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111K/yr

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 ...

Umusic

Streaming Fraud Data Research & Analyst

New York, NY · On-site +1

$61K - $118K/yr

This role can be based out of any of our US or European office locations or remote. How You'll Create * Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

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 ...

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Remote Data Analyst information

See Ridgewood, NJ salary details

$34.4K

$83.6K

$137.6K

How much do remote data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote data analyst in Ridgewood, NJ is $83,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

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

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 do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Ridgewood, NJ? The most popular types of Data Analyst jobs in Ridgewood, NJ are:
What job categories do people searching Remote Data Analyst jobs in Ridgewood, NJ look for? The top searched job categories for Remote Data Analyst jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Remote Data Analyst jobs? Cities near Ridgewood, NJ with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you

Senior Data Analyst (NYC Hybrid)

Empassion

New York, NY • Remote

$88K - $111K/yr

Full-time

Posted 22 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. 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.