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Remote Analytics Jobs in New York (NOW HIRING)

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Job Summary The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

New

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Showing results 21-40

Remote Analytics information

See New York salary details

$66.2K

$135.5K

$191.5K

How much do remote analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote analytics in New York is $135,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $167,900.00 per year, depending on experience, location, and employer.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in New York?

The most popular types of Analytics jobs in New York are:

What are popular job titles related to Remote Analytics jobs in New York?

For Remote Analytics jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Remote Analytics jobs?

Cities in New York with the most Remote Analytics job openings:

Infographic showing various Remote Analytics job openings in New York as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $135,495 per year, or $65.1 per hour.

Lead Analyst, Digital HEDIS & Quality Analytics - (Remote)

EmblemHealth

New York, NY • On-site, Remote

$77K - $149K/yr

Full-time

Posted 18 days ago


EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 315 rated insurance


Job description

Summary of Position
Lead the implementation of the quality department digital HEDIS strategy under the quality measurement analytics team. Lead efforts to continually improve data capabilities and quality of department analysis and reporting. Develop and implement automation of manual reporting and analysis of business implications and trends. Develop, automate, and manage the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.
Principal Accountabilities
  • Develop, implement, and manage reporting and reconciliation workflows and document processes.
  • Lead medical trend studies as they pertain to quality initiatives.
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.
  • Collaborate with IT and others to plan and execute digital readiness, including readiness for FHIR.
  • Engage with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc).
  • Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department.
  • 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 automated quality dashboards and measure profiles utilizing data visualization tools.
  • Provide analytical and technical guidance for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department.
  • Identify and analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating.
  • Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis.
  • Collaborate with internal quality management teams to assist on quality improvement initiatives.

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 managed care/healthcare analytics (Required)
  • Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required)
  • Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required)
  • Advanced experience with relational database applications (such as SAS, R, SQL, or others). (Required)
  • Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required)
  • Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred)
  • Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required)
  • Strong communication skills (verbal, written, presentation, interpersonal) (Required)
  • Demonstrated self-starter with ability to develop projects end to end independently (Required)

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