2

Remote Data Analyst R Programming Jobs in Newark, NY

Safran Federal Systems provides Resilient Positioning, Navigation and Timing (R-PNT) solutions and ... data quality, and guiding root-cause analyses. * Provide technical leadership for design reviews ...

Biostatistician

Rochester, NY ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Software Engineering Manager - Remote

Rochester, NY ยท On-site +1

$120K - $173K/yr

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ... data-driven decisions. Benefits * Hybrid Work Environment * Flexible Time Off * Medical, Dental ...

Software Engineering Manager - Remote

Rochester, NY ยท On-site +1

$120K - $173K/yr

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ... data-driven decisions. Benefits * Hybrid Work Environment * Flexible Time Off * Medical, Dental ...

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ... data-driven decisions. Benefits * Hybrid Work Environment * Flexible Time Off * Medical, Dental ...

Director of Biostatistics

Rochester, NY ยท Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Showing results 41-60

Remote Data Analyst R Programming information

See Newark, NY salary details

$34K

$82.6K

$136K

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

As of Sep 7, 2026, the average yearly pay for remote data analyst r programming in Newark, NY is $82,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 popular job titles related to Remote Data Analyst R Programming jobs in Newark, NY?

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

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

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

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

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

Infographic showing various Remote Data Analyst R Programming job openings in Newark, NY as of August 2026, with employment types broken down into 45% Full Time, 22% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,647 per year, or $39.7 per hour.

Business Development Executive (Remote - US Based)

Sutherland

Rochester, NY โ€ข On-site, Remote

Full-time

Re-posted 22 days ago


Job description

Company Description
Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics.
For Enterprises, these are key factors of success. For us, they're our core expertise.
We work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering - the foundation that powers rapid innovation and scalable business transformation.
We've created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as-a-service" model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. With proven strategies and agile execution, we don't just enable change - we engineer digital outcomes.
Sutherland
Digital Outcomes.
Job Description
The Business Development Executive will play a pivotal role in generating pipeline opportunities, qualifying leads, and supporting deal progression within the Business Development (BD) function. Working in close collaboration with marketing, solution teams, and delivery leadership, this role requires a deep understanding of digital customer experience (CX), AI-driven solutions, data analytics, and omnichannel engagement strategies. The executive will leverage market insights, predictive analytics, and customer intelligence to build compelling, data-supported value propositions that drive business impact for clients.
KEY RESPONSIBILITIES:
  • Lead Generation & Qualification: Source and qualify new leads through inbound, outbound, event-driven, and prospecting.
  • Pipeline Management: Build and manage a healthy, balanced, full-funnel sales pipeline across all Sutherland services, ensuring consistent movement of opportunities from prospecting to closure.
  • Consultative Solution Selling: Position Sutherland's digital-first, AI-enabled solutions effectively by understanding client pain points, business needs, and operational challenges.
  • Data-Driven Storytelling: Leverage customer, operational, and market data to present clear, business-impacting value propositions.
  • Client Engagement: Initiate and support executive-level conversations with prospective clients, including CxOs, to influence digital transformation agendas.
  • Market & Competitive Intelligence: Stay ahead of industry trends, competitive movements, and emerging technology innovations to inform sales strategies.
  • Collaboration: Partner with marketing, tech, and delivery teams to align go-to-market (GTM) efforts and craft tailored solutions.
  • Operational Excellence: Track and optimize key KPIs including sales cycle length, proposal-to-win ratios, and conversion rates.

Qualifications
A. Education & Experience
  • Bachelor's or master's degree in business, Data Science, Technology, or related field.
  • Prior experience in a B2B, technology-driven consulting, inside sales, or digital transformation sales environment.
  • Familiarity with BPO, IT services, or enterprise solutions preferred.

B. Critical Competencies
  • Digital & Technology Acumen: Deep understanding of AI, automation, cloud, SaaS, and digital CX platforms.
  • Data-Driven Decision Making: Strong analytical skills with the ability to translate data insights into sales strategies.
  • Consultative Selling & Business Case Development: Ability to develop compelling ROI models and business-impact cases.
  • Market Intelligence: Awareness of industry disruptions, competitor strategies, and digital trends.
  • Customer-Centric Approach: Proficient in customer journey mapping, VoC analysis, and personalization tactics.
  • Agility & Adaptability: Thrive in fast-paced, evolving environments; able to pivot strategies quickly.
  • Stakeholder Management: Capable of building executive-level relationships and driving cross-functional collaboration.
  • Communication & Storytelling: Exceptional skills in presenting data-supported narratives and influencing decision-makers.

Key Result Areas (KRAs):
Measure of Success
  • Pipeline Growth & Health;
    • Growth in qualified opportunities across all services
  • Revenue Generation;
    • New revenue from digital transformation deals, ACV/TCV targets
  • Lead Conversion Rates;
    • Qualified leads, lead-to-opportunity, and opportunity-to-close conversion rates
  • Consultative Sales Impact;
    • Number of consultative engagements and business cases developed
  • CxO-Level Engagements;
    • Number of strategic, executive-level conversations initiated
  • Market Positioning & Thought Leadership;
    • Participation in industry events, publications, and content contributions
  • Sales Cycle Optimization;
    • Reduction in average deal closure time and dwell time within pipeline stages
  • Operational Efficiency;
    • Proposal-to-win ratio improvements, adherence to pipeline progression KPIs
  • Client Retention & Expansion;
    • Growth in upsell/cross-sell opportunities within existing accounts

Additional Information
EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.