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Data Analyst R Programming Jobs in Raleigh, NC (NOW HIRING)

Identify data gaps and work with Engineering to fill those gaps * Work with stakeholders to develop requirements for data models in our data warehouse that enable performant, intuitive analyses

Senior Learning Data Analyst

Raleigh, NC

$83K - $105K/yr

Responsibilities: 30% Analyzing data from various sources such as employee feedback surveys ... learning developers. Job Environment & Physical Requirements: -Sitting for prolonged periods ...

SAP Master Data Analyst Location: 2 T.W. Alexander Drive, Research Triangle Park, NC 27709 (Hybrid ... Bachelor's degree, preferably with a computer science or Engineering orientation or equivalent work ...

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 ...

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

The Senior Analyst will play a critical leadership role within an Agile data pod supporting the ... Partner with Data and Enterprise Architecture and Engineering teams to drive migration to modern ...

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

The Senior Analyst will play a critical leadership role within an Agile data pod supporting the ... Partner with Data and Enterprise Architecture and Engineering teams to drive migration to modern ...

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Data Analyst R Programming information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jun 17, 2026, the average yearly pay for data analyst r programming in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in Raleigh, NC? The most popular types of Data Analyst R Programming jobs in Raleigh, NC are:
What job categories do people searching Data Analyst R Programming jobs in Raleigh, NC look for? The top searched job categories for Data Analyst R Programming jobs in Raleigh, NC are:
Infographic showing various Data Analyst R Programming job openings in Raleigh, NC as of June 2026, with employment types broken down into 82% Full Time, 6% Temporary, and 12% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

BI Data Analyst III

Credible

Durham, NC

$90K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Who is Credible?

Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance — all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels.

About the Role:

Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team. This role, which is aligned to the Insurance team, will be integral in providing insights that inform company decisions across several business functions including user acquisition, brand marketing, product development, finance, and operations. This is a great opportunity for you to join a growth stage company and contribute to the success of our products and the continual improvement of our user and customer experiences.

Responsibilities:

  • Partner with business functions within the Insurance team to understand their analytics needs and produce dashboards and analytics solutions that allow them to execute more effectively
  • Work with business leaders to define key metrics and build reporting to monitor performance along those metrics
  • Identify data gaps and work with Engineering to fill those gaps
  • Work with stakeholders to develop requirements for data models in our data warehouse that enable performant, intuitive analyses
  • Conduct in-depth investigative data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders
  • Help structure A/B tests, establish goals and define instrumentation and logging requirements for tests and features
  • Collaborate effectively with Web, QA, and Data Engineers to productionalize data

Education and Experience:

  • BA/BS in a quantitative field
  • 3+ years of work experience as a data analyst, data engineer, or in a highly analytical role
  • Advanced SQL knowledge and experience working with messy data required
  • Working knowledge of dbt
  • Experience leveraging visualization/reporting tools (Looker, Tableau, etc.)
  • Experience with A/B and multivariate testing
  • Strong grasp of statistics and experience conducting rigorous data analyses
  • Experience with a scripting language (preferably Python) for data processing and analysis a plus
  • Prior experience in the insurance industry or at a startup preferred


Must have:

  • An investigative spirit and a drive for clear proactive communication with stakeholders and partners
  • The capacity to juggle multiple priorities effectively within a fast-paced environment is critical
  • You're a highly motivated self-starter with the ability to work efficiently with minimal supervision
  • Anticipate business needs and think with a business owner mindset – think critically about analyses, don't just complete them
  • Passion for spreading the value of data and communicating insights to a broad audience with varying levels of technical expertise
  • Strategic thinker who champions data-driven decision-making and builds strong data practices across teams

Pursuant to state and local pay disclosure requirements, the pay ranges for this role, with final offer amount dependent on education, skills, experience, and location, are listed below. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
View more details about Credible Benefits

For high cost of labor markets such as but not limited to New York City and San Francisco:
$90,000—$118,800 USD
For all other US locations:
$75,000—$99,000 USD
Why work at Credible?

We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we're the friend you always wish you had in finance.

We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we'll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.