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Freelance Data Analyst R Programming Jobs in Fontana, CA

Brighton

Data Engineer

City Of Industry, CA

$90K - $120K/yr

About this role Brighton is a retail accessories brand doing genuinely innovative work in data and analytics, and we are looking for a Data Engineer to grow with us. Your work will directly enable ...

search-tactics

Power BI Developer

Diamond Bar, CA · On-site

Power BI Developer / Data Analytics Consultant Location: Diamond Bar, CA (Local candidates ... R a plus) * Demonstrated stakeholder management experience -- ability to engage directly with ...

Esri

Product Analyst

Redlands, CA · On-site

Partner closely with Product Analysts and Data Scientists to translate analytical requirements into wellstructured datasets and metrics * Contribute to the maturation of analytics engineering ...

Esri

Product Analyst

Redlands, CA · On-site

... Data Scientists to translate analytical requirements into well‑structured datasets and metrics • Contribute to the maturation of analytics engineering practices within Product Analytics ...

Esri

Product Analyst

Redlands, CA · On-site

... Data Scientists to translate analytical requirements into well‑structured datasets and metrics • Contribute to the maturation of analytics engineering practices within Product Analytics ...

Esri

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well-structured datasets and metrics * Contribute to the maturation of analytics engineering ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Fontana, CA

Freelance Data Analyst R Programming information

See Fontana, CA salary details

$34.6K

$84K

$138.3K

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

As of Aug 9, 2026, the average yearly pay for freelance data analyst r programming in Fontana, CA is $84,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

Is it possible to freelance as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering services such as data cleaning, analysis, and visualization to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and establishing reliable communication and project management skills.

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.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysts to have. Proficiency in R can enhance a data analyst's ability to interpret data and generate insights efficiently.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

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 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 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.
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Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $84,016 per year, or $40.4 per hour.

Data Engineer

Brighton

City Of Industry, CA

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About this role


Brighton is a retail accessories brand doing genuinely innovative work in data and analytics, and we are looking for a Data Engineer to grow with us. Your work will directly enable the kind of clear, personalized, and authentic communication our customers expect, by building the systems that help us understand and model customer behavior across channels.


You will bring technical depth across SaaS ETL, data warehouses, SQL, Python, and Excel/Google Sheets, and you will use those skills to connect data across our business, surface meaningful patterns, and support decision-making at every level. Your attention to detail matters here, as does your ability to work collaboratively with stakeholders who have different goals and levels of technical fluency.


You are joining a small, forward-thinking team that is actively redefining what data looks like at a modern retail brand. There is real ownership available here, and real impact.


This role reports to the Head of Data Analytics.


Responsibilities

  • Build, test, and deploy ETL/ELT patterns in an efficient, organized manner

  • Own data acquisition, transformation, modeling, and lineage

  • Manage data pipelines using DAG tools, SaaS ELT, and custom scripts

  • Partner with tech, marketing, and field teams to build scalable solutions that improve data accuracy, immediacy, and availability

  • Go beyond data engineering when needed: support the team with advertising performance, website analytics, customer segmentation, ROI modeling, LTV analysis, cross-channel analysis, media mix, and survey design

  • Communicate findings clearly to both technical and non-technical stakeholders


About you

  • You understand that the end goal of data is better customer engagement

  • You have a relentless but practical drive to make data accurate, immediate, and available

  • You dig into root problems before proposing solutions, and follow through once you do

  • You can hold multiple priorities and deadlines without dropping the ball

You should have

  • 4-5 years in a data-focused or technical role

  • Strong SQL skills (any variant)

  • Proficiency in Python, JavaScript, PHP, or .NET

  • Experience building and maintaining data pipelines

  • Expert-level Excel (pivot tables, vlookups, etc.)

  • Clear communicator with both technical and non-technical audiences

  • Self-starter who can manage priorities and workload with minimal supervision

  • Familiarity with BI/dashboarding tools a plus (Looker, Sigma, Tableau, Metabase, etc.)

  • Naturally curious and motivated to answer questions with data

We offer

  • Competitive salary and incentives

  • Inclusive benefits package including 401(k), medical, dental, and vision

  • Generous paid time off

  • Professional development and growth opportunities

  • Collaborative and innovative work environment


About Brighton


In 1972, our founders Jerry and Terri Kohl set out with a simple but bold idea: create beautifully crafted accessories that feel personal, meaningful, and made to last. They believed that artistry matters and that customers should be treated like lifelong friends. That belief still fuels us today.


At Brighton's headquarters, you'll find a community of passionate creators, problem-solvers, and innovators. Our buying team imagines what's next, our account specialists and shipping experts keep our nationwide network moving with precision, and our in-house artisans bring each design to life with extraordinary skill. We even have dedicated teams who restore and refresh beloved pieces so they can continue their journey with the people who cherish them.

Joining us means stepping into a place where heritage craftsmanship meets forward-thinking design. We're a company grounded in heart, yet always reaching for what's possible. Here, you're not just part of a brand, you're part of building the future of retail, one thoughtfully crafted handbag, necklace, and charm at a time.