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

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

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 ...

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 ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

... engineers. Responsibilities : • Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity • Leverage Spark SQL within Databricks to ...

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Data Analyst R Programming information

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$33.1K

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$132.2K

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

As of Sep 11, 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 is a data analyst r programming?

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 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 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 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 Data Analyst R Programming jobs in Raleigh, NC?

For Data Analyst R Programming jobs in Raleigh, NC, the most frequently searched job titles 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:

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Raleigh, NC as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Senior Enterprise Data Analyst

Raleigh, NC • On-site

First Citizens Bank
See more jobs at First Citizens Bankexternal

$83K - $105K/yr

Full-time

Re-posted 11 days ago

Key responsibilities

  • Lead the implementation and delivery of enterprise-scale Master Data Management (MDM) solutions, including Informatica Customer 360 and Reference 360.

  • Design, develop, and maintain data pipelines, data architecture, and integrations to ensure seamless data flow and high data quality.

  • Create and maintain technical documentation, including data mappings, data dictionaries, and reports related to the enterprise data warehouse.

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

Job description

Overview
The Senior MDM Product Analyst - Informatica 360 is responsible for driving the architecture, design, and delivery of enterprise-scale Master Data Management (MDM) solutions across the organization. This role provides strategic leadership for MDM platforms, focusing on end-to-end data architecture, scalable integrations, and real-time data enablement.
The candidate will lead the implementation of Informatica Customer 360 and Reference 360, ensuring seamless data flow from source systems to downstream consumers. This role requires deep expertise in API-driven and event-driven architectures, data pipeline engineering (batch and real-time), and enterprise integration patterns-enabling a governed, unified, and high-quality customer data ecosystem across banking platforms
Responsibilities & Qualifications
Duties & Responsibilities:
Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics and assists management with special data projects.
Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
Business Strategy - Facilitates strategies that develop the Bank's data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.
Position Specific Skills:
Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
Knowledge of data spreadsheets and databases
Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs
Ability to write SAS programming language
Qualifications:
Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
Core MDM Expertise
  • 12+ years of experience in data engineering, MDM development, or integration architecture.
  • Experience working in Agile methodology, including writing user stories and test cases using Jira.
  • Deep expertise in Customer/Party MDM (Individual & Non-Individual), golden record management, and match & merge frameworks.
  • Strong background in the Finance/Banking domain.

Platforms & Tools
  • Strong hands-on experience with Informatica Customer 360 & Reference 360 (mandatory; SaaS preferred).
  • Familiarity with other MDM tools such as Reltio, IBM MDM (preferred).
  • Strong proficiency in SQL and data integration tools (Informatica, ETL frameworks).
  • Experience with API development (REST, GraphQL) and messaging/event platforms (Kafka, MQ, etc.).
  • Experience building controls on data environments.

Data & Architecture
  • Strong understanding of data modeling (logical & physical), data integration patterns, data governance, and data lineage.
  • Proven experience designing real-time and batch data architectures.

Cloud & Data Platforms
  • Experience with Snowflake or other cloud data platforms (preferred).
  • Exposure to Azure, AWS, or hybrid cloud architecture.

Domain Knowledge
  • Experience in banking or financial services, including familiarity with Core Banking, Customer Information Systems, and Fraud/Risk/Compliance (KYC preferred).

Leadership & Soft Skills
  • Strong technical leadership and mentoring ability.
  • Excellent communication and stakeholder engagement skills.
  • Ability to lead enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS
  • Experience in large-scale enterprise data transformation programs.
  • Knowledge of microservices architecture and domain-driven design.
  • Exposure to DevOps, CI/CD pipelines, and automation frameworks.

KEY DELIVERABLES
▸ MDM architecture and integration designs
▸ End-to-end data pipeline frameworks
▸ API and event-driven data services
▸ Informatica 360 platform configurations and implementations
▸ Data models and integration mappings
▸ Performance optimization and monitoring frameworks
Additional Information
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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