1

Self Employed Data Analyst R Programming Jobs in Carnegie, PA

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

Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the ... Highly motivated, self-learner, and technically inquisitive * Experience in programming language ...

Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the ... Highly motivated, self-learner, and technically inquisitive * Experience in programming language ...

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview ... and data engineering * 5+ years of experience with Teradata * 7+ years of experience in:

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview ... and data engineering * 5+ years of experience with Teradata * 7+ years of experience in:

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview ... and data engineering * 5+ years of experience with Teradata * 7+ years of experience in:

Working knowledge of Python, R, or similar programming languages for data manipulation & analysis * Strong knowledge of data manipulation, cleaning & wrangling techniques * Experience with Alteryx ...

New

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 • ...

Data Analyst

Pittsburgh, PA · On-site

$45 - $50/hr

Hands-on experience investigating and remediating data quality issues including root cause analysis ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

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 ...

New

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 ...

next page

Showing results 1-20

Self Employed Data Analyst R Programming information

See Carnegie, PA salary details

$32.6K

$79.2K

$130.4K

How much do self employed data analyst r programming jobs pay per year?

As of Aug 31, 2026, the average yearly pay for self employed data analyst r programming in Carnegie, PA is $79,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What cities near Carnegie, PA are hiring for Self Employed Data Analyst R Programming jobs?

Cities near Carnegie, PA with the most Self Employed Data Analyst R Programming job openings:

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 16 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/