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Freelance Data Analyst R Programming Jobs in Pelham, AL

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer III Location: 3535 Colonnade Parkway, Birmingham, AL 35243 Duration: 1 Year Client ... Analytics Support * Support statistical models and AI/ML solutions using Python and/or R * Prepare ...

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Programming experience with Python, including notebooks and data engineering workflows. Practical experience applying AI and Machine Learning to solve real business challenges. Strong analytical and ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer III 4P/598

Birmingham, AL · On-site

$107K - $128K/yr

The role involves transforming raw data into structured formats that support enterprise analytics ... and/or R • Prepare data pipelines to enable machine learning workflows • Implement CI/CD ...

Collaborate with Data Engineers, Software Engineers, and Business Teams. * Monitor deployed models and improve performance based on new data. * Document methodologies, analysis, models, and results.

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and ... As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge ...

Showing results 41-60

Freelance Data Analyst R Programming information

See Pelham, AL salary details

$31.2K

$75.9K

$124.9K

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

As of Aug 18, 2026, the average yearly pay for freelance data analyst r programming in Pelham, AL is $75,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,100.00 per year, depending on experience, location, and employer.

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

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

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are popular job titles related to Freelance Data Analyst R Programming jobs in Pelham, AL?

For Freelance Data Analyst R Programming jobs in Pelham, AL, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Pelham, AL look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Pelham, AL are:

What cities near Pelham, AL are hiring for Freelance Data Analyst R Programming jobs?

Cities near Pelham, AL with the most Freelance Data Analyst R Programming job openings:

Infographic showing various Freelance Data Analyst R Programming job openings in Pelham, AL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,909 per year, or $36.5 per hour.

Data Scientist (Level III)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 13 days ago


Job description

Position:  Senior Data Scientist (Level III)

Location:  3535 Colonnade Parkway, Birmingham AL 35243
Duration:  6 Months

Client:       Southern Nuclear


Position Overview

We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.

This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.


Key Responsibilities

Advanced Data Analysis

  • Analyze complex, large-scale datasets to extract actionable insights.
  • Apply advanced statistical methods and machine learning techniques.
  • Formulate and validate hypotheses to support business decisions.

Predictive Modeling & Machine Learning

  • Develop and deploy sophisticated ML models including:
    • Deep learning
    • Ensemble methods
    • Neural networks
  • Lead algorithm development and model optimization.
  • Oversee model deployment into production environments.

Feature Engineering & Data Preparation

  • Lead feature engineering efforts to enhance predictive performance.
  • Work closely with data engineering teams to integrate data from:
    • Data lakes
    • Data warehouses
    • Distributed systems

Visualization & Communication

  • Build compelling visualizations using:
    • Tableau
    • Power BI
    • Python libraries (Matplotlib, Seaborn, etc.)
  • Present complex analytical findings to technical and executive audiences.

Experimentation & Testing

  • Design and analyze A/B tests.
  • Measure and quantify business impact of changes and optimizations.

Data Governance & Ethics

  • Ensure compliance with privacy laws and data protection standards.
  • Promote ethical AI and responsible data practices.

Leadership & Strategy

  • Mentor junior data scientists.
  • Influence organizational data strategy and roadmap.
  • Drive a data-driven culture across business units.
  • Evaluate emerging tools and technologies for innovation opportunities.

Required Qualifications

  • 10–15 years of experience in data science.
  • Master’s or Ph.D. in:
    • Computer Science
    • Statistics
    • Mathematics
    • Engineering
    • Related quantitative field
  • Expert proficiency in:
    • Python, R, or Julia
    • SQL
  • Strong experience with:
    • Machine learning algorithms
    • Big data technologies (Hadoop, Spark)
    • Distributed computing frameworks
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong leadership and communication skills.
  • Demonstrated ability to drive enterprise-level analytics initiatives.

Technical Expertise

  • Machine Learning & AI
  • Statistical Modeling
  • Feature Engineering
  • A/B Testing
  • Big Data Technologies
  • SQL & Data Manipulation
  • Model Deployment (MLOps familiarity preferred)
  • Data Governance & Compliance

Core Competencies

  • Strategic thinking
  • Innovation mindset
  • Cross-functional collaboration
  • Executive-level communication
  • Mentorship and leadership
  • Advanced problem-solving abilities