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Freelance Data Analyst R Programming Jobs in Elizabeth, NJ

Columbia University

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Provide support for internal ad-hoc reporting and data analytics requests and various internal ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

Maagsoft Inc.

Data Analyst

Manhattan, NY

... R, Stata, pandas to analyze data * 36 months experience with MS Microsoft Office Suite and Adobe software * 24 months of experience tracking and/or coordinating projects * Bachelor's Degree in ...

tignovate

Data Analyst

Manhattan, NY

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

PitchBook Data

Data Analyst

New York, NY · On-site

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Lemonade

Data Analyst

New York, NY · On-site

Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects ... Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight ...

Konrad

Senior Data Analyst

New York, NY · Hybrid

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Konrad

Senior Data Analyst

New York, NY · On-site

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Twin Health

Lead Data Analyst

New York, NY · On-site +1

$130K - $140K/yr

You won't just analyze data; you'll build the tools that shape our strategy. As a Lead Analyst, you ... Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ...

Sundaysky

Data Analyst

New York, NY

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

Healthcare

Lead Data Analyst

New York, NY · On-site

Developing and managing code in SQL, Athena, R, Python, and other languages for data querying and ... programing languages such as Microsoft SQL. Additional qualifications that could help you succeed ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Elizabeth, NJ

Freelance Data Analyst R Programming information

See Elizabeth, NJ salary details

$34.2K

$83.2K

$136.9K

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

As of Jun 14, 2026, the average yearly pay for freelance data analyst r programming in Elizabeth, NJ is $83,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,600.00 per year, depending on experience, location, and employer.

How much do freelance data analysts make?

Freelance data analysts using R programming typically earn between $25 and $100 per hour, depending on experience, project complexity, and client budget. Annual income varies widely but can range from $50,000 to over $100,000 for experienced professionals working on multiple projects or consulting contracts.

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.

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 expertise, and why are they important?

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 specializing in 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.

Can I do freelancing as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering data analysis, visualization, and reporting services to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and managing client relationships and deadlines. Many freelancers find opportunities through online platforms and networking.

Does R programming pay well?

Freelance data analysts skilled in R programming can earn competitive rates, especially with expertise in statistical analysis, data visualization, and proficiency in tools like RStudio. Earnings vary based on experience, project complexity, and client industry, but experienced freelancers often command higher pay in the data analysis field.

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 job categories do people searching Freelance Data Analyst R Programming jobs in Elizabeth, NJ look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Elizabeth, NJ are:
What cities near Elizabeth, NJ are hiring for Freelance Data Analyst R Programming jobs? Cities near Elizabeth, NJ with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you
Data Analyst/Data Modeler

Data Analyst/Data Modeler

Programmers.io

Jersey City, NJ • On-site

Full-time

Posted 2 days ago

Job description

Job Description:

Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.

Analyze existing data sources to identify data elements, relationships, and inconsistencies.

Design, develop, and maintain canonical data models and schemas, including positions, trades, collateral, and market data.

Ensure data quality, accuracy, and integrity within the data models, implementing data validation rules and monitoring data flows.

Work closely with data architects, developers, and other analysts to implement data models in various technology platforms.

Document data definitions, data lineage, business rules, and technical specifications for the canonical data models.

Perform data analysis and extract insights from large datasets using tools like SQL, Excel, and potentially Python or R.

Create reports, dashboards, and visualizations to support data governance, data quality, and business understanding of securities finance data.

Participate in testing and validation of data models and data transformations.

Qualifications Required

A Bachelor's degree in a relevant field such as Finance, Economics, Computer Science, or Information Systems is required.

Candidates should have at least 3 years of experience in data or financial analysis, preferably within financial services.

A strong understanding of securities finance, including lending, borrowing, and collateral management, is essential.

Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.

Experience with data modeling tools and methodologies, as well as familiarity with database concepts, is also necessary.

Essential soft skills include strong analytical and problem-solving abilities with attention to detail.

Excellent communication skills for explaining complex data, and the ability to collaborate effectively in a team environment.

A proactive and continuous learning mindset is also value.