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Full Time Data Analyst R Programming Jobs in Pennsylvania

Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data Conditioning ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

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 ...

... dataideology.com Data Analyst Job Type: Full-Time, 6-Month Fixed-Term (Renewable) This is a ... Support ETL processes and collaborate with developers and stakeholders to ensure solutions align ...

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 ...

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working ... Experience with R or Python for creating data models or data manipulation * The ability to make ...

New

Operations & Supply Chain Employment Type: Full Time Location: Columbia, PA - Plant Description ASC Engineered Solutions is seeking a Data Analyst , a high‑impact, operations‑focused role ...

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 and Analytics Location: 335 Commerce Dr, Fort Washington, PA 19034 Employment Type: Full-Time ... Collaborate with analysts, engineers, and business stakeholders to improve data models, reporting ...

ASC Engineered Solutions is seeking a Data Analyst , a highimpact, operationsfocused role supporting supply chain excellence across our Columbia, PA, manufacturing operations. * Analyze supply chain ...

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Full Time Data Analyst R Programming information

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

What are the most commonly searched types of Data Analyst R Programming jobs in Pennsylvania? The most popular types of Data Analyst R Programming jobs in Pennsylvania are:
What are popular job titles related to Full Time Data Analyst R Programming jobs in Pennsylvania? For Full Time Data Analyst R Programming jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Full Time Data Analyst R Programming jobs in Pennsylvania look for? The top searched job categories for Full Time Data Analyst R Programming jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Full Time Data Analyst R Programming jobs? Cities in Pennsylvania with the most Full Time Data Analyst R Programming job openings:
Infographic showing various Full Time Data Analyst R Programming job openings in Pennsylvania as of July 2026, with employment types broken down into 1% Internship, 79% Full Time, 12% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution.

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 23 days ago


Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/