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Remote R Programming Jobs in North Carolina (NOW HIRING)

LendingTree

Senior Business Analyst

Charlotte, NC · On-site +1

$90K - $116K/yr

Tuesday-Thursday in-office, Monday and Friday remote. Additionally, this position does not offer ... Experience with Python, R, or other analytical programming languages * Strong experience analyzing ...

Humana

Lead, Offensive Security

Charlotte, NC · Remote

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

Humana

Lead, Offensive Security

Charlotte, NC · Remote

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

Humana

Lead, Offensive Security

Charlotte, NC · Remote

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Demonstrated programming skills in R (required), including experience developing reproducible ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Demonstrated programming skills in R (required), including experience developing reproducible ...

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All JobsR Programming JobsRemote R Programming JobsRemote R Programming Jobs in North Carolina

Remote R Programming information

See North Carolina salary details

$72.7K

$112.7K

$137.2K

How much do remote r programming jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote r programming in North Carolina is $112,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $126,800.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the Remote R Programming position, and why are they important?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are the most commonly searched types of R Programming jobs in North Carolina? The most popular types of R Programming jobs in North Carolina are:
What are popular job titles related to Remote R Programming jobs in North Carolina? For Remote R Programming jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in North Carolina look for? The top searched job categories for Remote R Programming jobs in North Carolina are:
What cities in North Carolina are hiring for Remote R Programming jobs? Cities in North Carolina with the most Remote R Programming job openings:
Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in North Carolina as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,691 per year, or $54.2 per hour.
Senior Business Analyst

Senior Business Analyst

LendingTree

Charlotte, NC • On-site, Remote

$90K - $116K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

*This role requires a hybrid schedule in our Charlotte, NC office; Tuesday-Thursday in-office, Monday and Friday remote. Additionally, this position does not offer visa sponsorship.*

We are looking for someone who is passionate about using data to improve customer experiences and business outcomes. You love understanding how customers move through a product journey, identifying friction points, and uncovering opportunities to optimize conversion funnels. You are equally comfortable diving into complex datasets, defining measurement frameworks, and partnering with Product, Engineering, and Business leaders to turn insights into action.

You are naturally curious and constantly asking questions. Why are customers dropping off at a particular stage? What product experiences drive higher engagement and conversion? Are we measuring the right things? What data should we be collecting today to answer the questions we'll have tomorrow?

In this role, you will serve as a strategic analytics partner to Product, Engineering, and Business leaders. You will help define and measure the customer journey, identify opportunities for funnel optimization, and influence product strategy through data-driven recommendations. You will also play a critical role in shaping our analytics infrastructure by partnering with Data Engineering teams to establish scalable data pipelines, event tracking frameworks, and trusted datasets that power future insights.

Success in this role requires strong analytical thinking, a bias toward action, and the ability to translate ambiguity into structured frameworks and measurable outcomes. You will need to challenge assumptions, influence stakeholders across the organization, and communicate complex findings through clear, compelling narratives grounded in data.
We are a learning culture. People who do well here:
  • Are proactive and take ownership of both business outcomes and their own development
  • Demonstrate curiosity by asking thoughtful questions and digging deeper to understand root causes
  • Think strategically while remaining focused on execution
  • Build strong partnerships across Product, Engineering, Marketing, and Analytics teams
  • Seek feedback, continuously improve, and help elevate those around them
  • Operate with a growth mindset and embrace change as new information becomes available
In this role, you can expect the following from us:
  • Meaningful impact. Your work will directly influence product strategy, customer experience, and business performance.
  • Autonomy and ownership. You will have the opportunity to define analytical approaches, shape measurement strategies, and drive high-visibility initiatives.
  • Cross-functional collaboration. You will work closely with Product Managers, Engineers, Data Engineers, and business leaders to solve complex challenges.
  • Continuous learning. You'll be surrounded by curious, driven teammates who value experimentation, innovation, and professional growth.
RESPONSIBILITIES
  • Partner with Product and Business leaders to identify opportunities for funnel optimization, customer experience improvements, and revenue growth
  • Develop analytical frameworks that measure product performance across the customer journey and inform strategic decision-making
  • Conduct deep-dive analyses to identify drivers of customer behavior, conversion, engagement, retention, and product adoption
  • Define, monitor, and communicate key product performance metrics and KPIs
  • Lead measurement planning for new product launches, features, and experiments
  • Design and analyze A/B tests and other experimentation frameworks to evaluate product changes and quantify business impact
  • Collaborate with Data Engineering teams to design, validate, and maintain foundational data assets, event tracking strategies, and scalable analytics datasets
  • Identify data quality issues, measurement gaps, and opportunities to improve analytics infrastructure
  • Build dashboards, reporting solutions, and self-service analytics tools that empower stakeholders across the organization
  • Translate complex analyses into actionable recommendations and compelling business narratives for technical and non-technical audiences
  • Influence product roadmaps and strategic priorities through data-driven insights and recommendations
  • Mentor and support junior analysts while helping establish best practices across the analytics organization
QUALIFICATIONS
  • 3+ years of experience in Analytics, Product Analytics, Data Science, Business Intelligence, or a related field
  • Advanced SQL skills with demonstrated experience working with large, complex datasets
  • Experience with Python, R, or other analytical programming languages
  • Strong experience analyzing customer journeys, conversion funnels, and digital product performance
  • Experience designing and evaluating experiments, including A/B testing methodologies
  • Experience partnering with Product Managers, Engineers, and cross-functional stakeholders to drive business outcomes
  • Strong understanding of data modeling, event tracking, and analytics data architecture concepts
  • Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms
  • Strong communication and storytelling skills with the ability to influence decisions through data
  • Ability to operate effectively in ambiguous environments and independently drive projects from concept to completion
  • Strategic thinker who can connect tactical analyses to broader business objectives
  • Pragmatic and action-oriented; understands when to pursue perfection and when to deliver iterative value
NICE TO HAVE
  • Experience in marketplace, fintech, lending, or consumer-facing digital products
  • Experience working with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift
  • Experience building event taxonomies, tracking plans, and measurement frameworks
  • Experience leading analytics initiatives that influenced product strategy and roadmap decisions

ABOUT LENDINGTREE

LendingTree is the nation's leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit - from mortgages and personal loans to credit, savings, and insurance products. 
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
What else you should know:

  • We're a publicly traded company (NASDAQ: TREE).
  • We've welcomed several other companies into the LendingTree family to expand our reach and capabilities.
  • We've built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
  • We're also committed to giving back - through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.

Base salary: The base pay range for this position is $105,000 to 115,000 however, base pay offered may vary depending on internal factors, job-related knowledge, location and candidate experience. 

Benefits: Medical, dental, vision insurance and 401(k) matching

OUR CULTURE

We're a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you'll meet - and we celebrate innovation, inclusion, and ownership. At LendingTree, you'll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another - with the flexibility and trust that help you thrive both personally and professionally.
We're proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes - we still have fun doing it (our "GSD - Get Stuff Done" award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.

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