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Data Analyst R Jobs in Philadelphia, PA (NOW HIRING)

Pwc

Data Strategy-Manager

Philadelphia, PA · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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All JobsData Analyst R JobsData Analyst R Jobs in Philadelphia, PA

Data Analyst R information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do data analyst r jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data analyst r in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in machine learning, big data tools, and business intelligence platforms, tend to offer the highest salaries for data analysts. Positions in finance, technology, and consulting industries often provide higher compensation, with some senior or specialized roles earning over $100,000 annually depending on experience and location.

What is a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

Can you use R for data analysis?

Data Analysts often use R for data analysis because it offers extensive statistical and graphical capabilities, along with a wide range of packages for data manipulation and visualization. Proficiency in R can enhance a data analyst's ability to interpret complex datasets and generate insights efficiently.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

Is R important for data analysts?

R is an important tool for data analysts as it provides extensive statistical and data visualization capabilities. Proficiency in R can enhance data analysis, modeling, and reporting skills, making it a valuable skill in many data-focused roles.

Do data analysts still use R?

Data analysts still use R as it remains a popular programming language for statistical analysis, data visualization, and data manipulation. Many organizations value R for its extensive package ecosystem and open-source nature, often alongside tools like Python and SQL. Proficiency in R can enhance a data analyst's ability to perform complex analyses and communicate insights effectively.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What are popular job titles related to Data Analyst R jobs in Philadelphia, PA? For Data Analyst R jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Analyst R jobs in Philadelphia, PA look for? The top searched job categories for Data Analyst R jobs in Philadelphia, PA are:
Data Analyst R jobs near you
Infographic showing various Data Analyst R job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 75% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.
Compensation Analyst

Compensation Analyst

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted 28 days ago

Job description

Overview
We are seeking a curious, detail-oriented Junior HR / Compensation Data Analyst to support our global HR and Talent teams. This role is ideal for someone early in their analytics career who is excited to work with people, compensation, and labor market data and to help bring consistency and insight to complex, evolving information.
The HR / Compensation Analyst will support salary market analysis, job architecture efforts, and recruiting data standardization across professional, campus, and intern populations globally. This role offers strong exposure to compensation, workforce analytics, and global HR practices, with opportunities to build technical and analytical skills.
In this role you will:
  • Assist in analyzing salary survey and market benchmarking data under guidance from senior team members.
  • Support compensation analyses by preparing datasets, identifying trends, and summarizing findings.
  • Conduct basic research to supplement market data, as directed.
  • Support efforts to standardize job titles, job levels, and job families across the organization.
  • Help review job descriptions and role information to classify work consistently across professional, campus, and intern roles.
  • Document role attributes and maintain job-related data in standardized formats.
  • Clean, organize, and standardize recruiting and role data collected in varying formats.
  • Help convert unstructured information into structured datasets for analysis and reporting.
  • Perform data quality checks to ensure accuracy and consistency.
  • Assist with gathering external data from public websites and labor market sources.
  • Support independent research projects related to labor markets, emerging roles, and compensation trends.
  • Maintain documentation of data sources and methodologies.

What we're looking for
  • Bachelor's degree in Analytics, Economics, Statistics, HR, or a related field.
  • 0-2 years of experience in a data, analytics, HR, or research-focused role.
  • Strong attention to detail and comfort working with messy or incomplete data.
  • Basic proficiency in Excel; exposure to SQL, Python, or R is a plus.
  • Ability to follow defined processes while asking thoughtful questions.
  • Coursework or internships related to HR analytics, compensation, economics, or labor markets.
  • Exposure to recruiting or HR systems (ATS/HRIS).
  • Familiarity with data cleaning, basic automation, or web scraping concepts.
  • Interest in global workforce trends and job design.

Visa sponsorship for work authorization is not available for this position now or in the future.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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