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Afternoon Data Analyst R Programming Jobs in Raleigh, NC

Credible

BI Data Analyst III

Durham, NC

$90K - $118K/yr

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

NC SECU

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 ...

Stefanini

SAP Master Data Analyst

Durham, NC · Hybrid

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 ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$40/hr

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 ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$40/hr

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 ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$40/hr

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 ...

First Citizens Bank

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 ...

First Citizens Bank

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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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Raleigh, NC

Afternoon Data Analyst R Programming information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jun 17, 2026, the average yearly pay for afternoon 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 is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Raleigh, NC? For Afternoon Data Analyst R Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Raleigh, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Raleigh, NC with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

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.