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Entry Level Data Analyst R Programming Jobs in Pennsylvania

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

... data visualization tools (Power BI, Tableau) • Basic programming knowledge (Python or R) • Strong analytical and problem-solving abilities • Good communication and presentation skills • ...

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 ...

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 ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

The Analyst would be responsible for supporting methods development and data analysis for a variety ... Proficient with statistical programming software and languages (e.g., SAS, STATA, or R) * Excellent ...

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Bachelor's degree in engineering, computer science, or data science from a four-year ABET ...

Analytics Engineering & Data Validation * Develop and maintain reusable BigQuery views and/or SQL-based data models that serve as the foundation for Power BI reporting and self-service analytics.

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues What You'll Bring * Strong analytical and problem-solving skills ...

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues What You'll Bring * Strong analytical and problem-solving skills ...

Showing results 21-40

Entry Level Data Analyst R Programming information

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

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 Entry Level Data Analyst R Programming jobs in Pennsylvania?

For Entry Level Data Analyst R Programming jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Pennsylvania look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Entry Level Data Analyst R Programming jobs?

Cities in Pennsylvania with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Pennsylvania as of June 2026, with employment types broken down into 4% As Needed, 30% Full Time, 65% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

Data Analyst
Must Have Technical/Functional Skills:
• Strong knowledge of SQL and databases
• Proficiency in Excel (advanced functions, pivot tables)
• Experience with data visualization tools (Power BI, Tableau)
• Basic programming knowledge (Python or R)
• Strong analytical and problem-solving abilities
• Good communication and presentation skills
• Understanding of statistics and data analysis techniques.
Roles & Responsibilities:
• Collect, clean, and validate large datasets from multiple sources
• Analyze data to identify trends, patterns, and insights
• Develop and maintain reports, dashboards, and visualizations
• Work with stakeholders to understand business requirements
• Perform data modeling and statistical analysis
• Use tools like SQL, Excel, and Python/R for analysis
• Ensure data accuracy, integrity, and consistency
• Present findings through charts, graphs, and presentations
• Collaborate with cross-functional teams (IT, business, operations)
• Support decision-making with data-driven recommendations
Salary Range - $100,000-$110,000 a year
TCS Employee Benefits Summary:
1. Discretionary Annual Incentive.
2. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
3. Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
4. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
5. Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.