ZipRecruiter

Log In

2

Entry Level Data Analyst R Programming Jobs in Birmingham, AL

PNC Bank

Business Analytics Consultant

Birmingham, AL · On-site

Key Responsibilities Utilize SQL, SAS, or other programming languages to extract and analyze data for monthly reporting, business cases, ad hoc analyses, and data research initiatives. Modify ...

previous pagenext page

Showing results 21-40

All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Birmingham, AL

Entry Level Data Analyst R Programming information

See Birmingham, AL salary details

$12

$30

$57

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data analyst r programming in Birmingham, AL is $30.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $34.47 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Birmingham, AL?

The most popular types of Data Analyst R Programming jobs in Birmingham, AL are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Birmingham, AL?

For Entry Level Data Analyst R Programming jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Birmingham, AL look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Birmingham, AL are:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,186 per year, or $30.9 per hour.

Data, Analytics & AI Engineer ONI

O'Neal Industries

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from various systems.

  • Develop and manage curated data models in Azure SQL and future MS Fabric environments to support analytics, AI, and reporting.

  • Develop and maintain Power BI semantic models, dashboards, and reports to deliver insights to stakeholders.

Job description

Responsibilities Include but Are Not Limited To:
Data Engineering & Analytics Platform
  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
  • Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
  • Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
  • Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.

Analytics & Reporting
  • Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
  • Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
  • Promote self-service analytics through well-designed datasets, documentation, and governance.

AI, Machine Learning & Agentic Workflows
  • Identify, prototype, and deliver AI and machine learning solutions that improve decision-making, forecasting, anomaly detection, classification, and automation.
  • Design and implement agentic workflows that combine data, analytics, and AI models to automate multi-step business processes, decision support, and operational actions.
  • Leverage Azure-based AI services and emerging Fabric capabilities (e.g., notebooks, ML, real-time intelligence) to operationalize AI solutions.
  • Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.

Collaboration & Delivery
  • Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
  • Partner with affiliate companies and cross-functional ONI teams as a resource on key initiatives.
  • Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.

Continuous Improvement & Innovation
  • Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
  • Contribute to a culture of data-driven decision-making, experimentation, and continuous improvement across ONI.

Required Skills, Abilities and Education:
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
  • Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
  • Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
  • Hands-on experience developing and maintaining analytics and semantic models using Power BI.
  • Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
  • Experience applying AI/ML techniques to real-world business problems, including model development, evaluation, and operationalization.
  • Strong analytical thinking, problem-solving, and attention to detail.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Self-driven, curious, and comfortable working in a dynamic, evolving technical environment.

Desirable Skills, Abilities and Education:
  • Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
  • Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
  • Experience supporting enterprise data platforms in regulated or security conscious environments.
  • Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
  • Experience working within large, distributed organizations or multi affiliate environments.
  • Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply