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

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Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

Familiarity with Python, R, or data automation tools. * Experience working in an Agile/Scrum environment. Technical Skills Must Have * SQL * Data Analysis & Data Profiling * Reference Data Management ...

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Acquire, validate, and analyze structured and unstructured data from multiple sources to ensure ... Power BI, Alteryx, Python, R, Excel, or similar technologies. * Ability to manage multiple ...

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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 Aug 14, 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.

Is a data analyst in high demand?

Data analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as R or Python enhance job prospects in this field.

What is a data analyst R?

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.

What skills and qualifications are needed for a data analyst R?

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.

What does a data analyst R do?

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.

Infographic showing various Data Analyst R job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Data Analyst

ResolveSoft Inc

Philadelphia, PA • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

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Job description

Position: Data Analyst

Location: Onsite, Philadelphia, PA
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.