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Remote Data Analyst R Programming Jobs in Long Island, NY

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

We are looking for an Accounting Data Analyst to drive insights, generate actionable reports, and streamline our operations and trading data needs for the firm. Remote candidates will be considered.

Senior/Staff Data Analyst

New York, NY · On-site +1

$94K - $118K/yr

Remote (Europe) Relocation available: Case by case Work pattern: * Remote across Europe, with ... You'll sit within our centralised Product Data team and work closely with Product and Engineering ...

Senior Data Analyst (Remote)

Yonkers, NY · Remote

$89K - $112K/yr

The data analysts make up a critical component of our client implementation team, as Solovis clients need good historical data to maximize the power of the Solovis platform. Our Data Analysts embrace ...

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 ...

Data Analyst I

New York, NY · On-site +1

$21.78 - $30.53/hr

Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype ... Responsible for maintaining data processes, updating databases, and generating analytical reports ...

Data Analyst II

New York, NY · On-site +1

$52K - $73K/yr

Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype ... Responsible for developing and maintaining data collection, analysis, and reporting processes to ...

Senior Data Analyst

New York, NY · Remote

$165K - $215K/yr

You'll partner with Operations Leaders, CSMs, and Analytics Engineers to turn open-ended questions ... Triage incoming requests for new data, charts, and metrics, push back on low-value asks, and focus ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 21-40

Remote Data Analyst R Programming information

See Long Island, NY salary details

$34.6K

$84K

$138.3K

How much do remote data analyst r programming jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote data analyst r programming in Long Island, NY is $84,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,600.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Long Island, NY?

The most popular types of Data Analyst R Programming jobs in Long Island, NY are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Long Island, NY?

For Remote Data Analyst R Programming jobs in Long Island, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Long Island, NY look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Long Island, NY are:

What cities near Long Island, NY are hiring for Remote Data Analyst R Programming jobs?

Cities near Long Island, NY with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Long Island, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,042 per year, or $40.4 per hour.

Senior Data Analyst, Product Analytics

New York, NY • On-site, Remote

Full-time

Re-posted 17 days ago


Job description

Who You Are

We're looking for a Senior Data Analyst to join ShopMy's growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. This role is about helping every product perform to its potential: establishing what success looks like, ensuring the right behaviors are tracked, validating launches, and making it easy to see what's working, what isn't, and where the next opportunity lies.

You know how to identify what drives value and unlock it through better measurement, systems, and analysis. You don't wait for every question to be handed to you. You dig into user behavior, conversion funnels, product performance, and user feedback to find gaps and opportunities, then work with the right teams to act on them. When data is missing, inconsistent, or misleading, you trace the issue to its source and help drive a complete solution.

You bring substantial technical depth and strong product intuition. You can think in SQL, build thoughtful data models, create dashboards that tell a clear story, and translate nuanced findings into clear recommendations. You know that technically correct results can still tell the wrong story, and you have the judgment to recognize when the data does not reflect the user behavior or business question it is meant to explain. You use AI to multiply your output without outsourcing your judgment.

ShopMy sits at the intersection of SaaS, e-commerce, and a multi-sided marketplace, creating an unusually broad product analytics problem space. You'll work across creator, brand, and shopper experiences, help define how we measure AI-powered products, and explore how AI can continuously monitor performance, surface anomalies, and generate insights. This is a high-autonomy role with a direct line from your work to ShopMy's product decisions and business performance.

What You'll Do
  • Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization
  • Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable
  • Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early
  • Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact
  • Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution
  • Audit product tracking across web and mobile sources, events, and transformations, partnering with Data Infrastructure and Engineering to resolve gaps and build the models or pipelines needed for reliable analysis
  • Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale
  • Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership
Qualifications
  • 4+ years of experience in Data & Analytics, preferably in product analytics within e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, social platforms, or similarly relevant environments
  • Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses
  • Strong experience with business intelligence tools, BI modeling, data visualization, and storytelling through dashboards
  • Experience analyzing digital user behavior, conversion funnels, feature adoption, and product performance; defining instrumentation and measurement plans; and working with product analytics tools such as Amplitude, Heap, Mixpanel, or similar platforms
  • Experience with experimentation and measurement, including A/B testing, incrementality, or attribution
  • Working experience with Python, JavaScript, R, notebooks, or similar tools for analysis and automation, along with experience using AI to accelerate analysis, automate workflows, monitor products, or surface insights
  • Strong product intuition, problem-solving skills, and attention to detail, with a resourceful and self-directed approach to ambiguity, prioritization, and independently identifying where Analytics should get involved
  • Excellent communicator and cross-functional partner who can simplify abstract or technical concepts, tailor the message to the audience, and turn analysis into a clear point of view

We have a strong preference for someone to be based in New York City, but open to remote on the East Coast.

The work in this role directly shapes how ShopMy builds, measures, and improves its products. This is foundational, high-impact work with meaningful autonomy, exposure across the full product portfolio, and the opportunity to define what excellent product analytics looks like as the company scales.