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

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Job Title: Data Analyst Location: Malvern, PA * Engage with internal partners to understand ... Coding knowledge in SQL, Python, or the equivalent (SAS, R) * Data visualization using Tableau ...

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 ...

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Trenton Health Team (THT) is seeking a Data Analyst to join our Data & Analytics team. In this role ... Statistical programming languages (R, Python, or Stata) * Data visualization tools (Tableau or ...

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Trenton Health Team (THT) is seeking a Data Analyst to join our Data & Analytics team. In this role ... Statistical programming languages (R, Python, or Stata) * Data visualization tools (Tableau or ...

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 ...

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

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 ...

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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 Jul 2, 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:

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Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Analyst to support KPS and our government customer in Philadelphia, PA. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.   

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more

 

The Data Analyst will collect, analyze, and report on program data to identify trends, support decision-making, and drive process improvements. Core responsibilities include data quality oversight, system maintenance, and conducting quantitative and qualitative analyses to develop reports, visualizations, and data-driven insights for federal staff and program leadership. This is an ONSITE position required to be performed at the Philadelphia office locations, with telework available upon approval.

Essential Functions, Responsibilities & Duties may include, but are not limited to:

  • Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight.
  • Conduct both basic and complex statistical analyses to identify trends, patterns, and actionable insights across federal grant programs.
  • Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and develop high-quality written reports explaining the results of data compilation and analysis activities.
  • Prepare management information reports on a periodic, cyclical, or ad-hoc basis to support program leadership and decision-making.
  • Identify and resolve reporting anomalies and data quality issues to ensure the integrity of program data.
  • Create data-driven presentations for management meetings, conferences, and leadership briefings.
  • Support congressional reporting and respond to other high-priority data requests in a timely and accurate manner.
  • Conduct trend analysis and comparative assessments across programs and regions to identify opportunities for program improvement.
  • Conduct qualitative analysis of grant applications, budgets, intake forms, and other grant-related documents.
  • Review documentation to identify errors, missing information, or required follow-up actions and communicate findings appropriately.
  • Analyze correspondence and communications between the federal government and grant recipients to identify themes and patterns in textual data.
  • Leverage AI tools appropriately while adhering to federal policies, including approved AI platforms.
  • Synthesize qualitative findings into actionable recommendations for program staff and leadership.
  • Develop compelling data stories that communicate complex insights to diverse audiences, including both technical and non-technical stakeholders.
  • Create executive summaries and briefing materials for leadership, including materials for state conferences and internal decision-making support.
  • Design and deliver oral presentations with support materials to a variety of audiences.
  • Generate crosstabs, detailed analytical tables, and data visualizations to support reporting needs.
  • Translate complex data findings into clear, actionable recommendations that drive program improvements.

 

Position Requirements:

Education:

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university.

 

Required Experience:

  • A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis.

Required Skills and Competencies:

  • Strong analytical and critical-thinking skills with the ability to work independently and collaboratively in a team environment.
  • Demonstrated ability to aggregate, analyze, and present data from multiple sources in a clear and meaningful way.
  • Experience with methodology or implementation of AI application tools (GitHub, R, Qualtrics, Tableau, or Power BI), ArcGIS
  • Experience reporting analytical findings to diverse audiences, including both technical and non-technical stakeholders.
  • Experience with Excel, Python, R, and preferably Smartsheet
  • Experience working with data layers and data infrastructure to support analytical and reporting activities.
  • Experience with qualitative data analysis methodologies, including identifying themes and patterns in textual data.
  • Proven ability to manage multiple analytical projects simultaneously and meet deadlines in a fast-paced environment.
  • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and web-based collaboration tools.
  • Professional communication skills, both written and oral, include the ability to produce high-quality written reports and deliver oral presentations.

Travel Requirements: 

  • Contractor personnel are required to travel within and outside the Region during the performance of this contract to conduct site visits, attend meetings, conferences, and training 

Additional Requirements:

  • U.S. citizenship or legal authorization to work in the United States 
  • Ability to obtain and maintain a Public Trust security clearance 
  • Ability to pass required background investigations for access to federal facilities and systems 
  • Ability to work independently and collaboratively in a team environment 
  • Ability to maintain confidentiality and handle sensitive information appropriately 
  • Willingness to complete mandatory training requirements 

Security Requirement: 

  • Ability to obtain and maintain a Public Trust security clearance 

 

Desired Skills and Competencies:

  • Experience working with federal grant programs, particularly in data analysis or program oversight capacity.
  • Knowledge of Head Start or similar early childhood education programs.
  • SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI
  • Knowledge of survey methodology or survey implementation practices.
  • Experience with AI tools and platforms, including GitHub and Qualtrics, in compliance with applicable federal policies.
  • Familiarity with web-based data quality and collaboration tools.

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352