1

Self Employed Data Analyst R Programming Jobs in Pennsylvania

... Engineering, Workflow Solutioning, and Business Consulting Services. Established in 2016, DRCG is ... Experience with Python or R for data analysis, data preparation, or automation. * Experience with ...

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 Engineer

Wayne, PA · On-site

$150K - $180K/yr

The Data Analyst Engineer will play a critical role in building and maintaining the data pipelines that fuel our data driven insights and empower our healthcare offerings by leveraging both technical ...

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 ...

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.

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 ...

Showing results 41-60

Self Employed Data Analyst R Programming information

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 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 cities in Pennsylvania are hiring for Self Employed Data Analyst R Programming jobs?

Cities in Pennsylvania with the most Self Employed Data Analyst R Programming job openings:

Data Analyst (Tableau Developer)

Leverage Technologies

Mechanicsburg, PA • On-site

Other

Posted 22 days ago


Job description

We are looking to hire an experienced Data Analyst with strong skills in data analysis, visualization, and business intelligence to transform complex data into clear and meaningful insights This role is ideal for a data professional who enjoys exploring data, identifying trends and opportunities, and using visualization techniques to tell compelling stories with data.

This position combines data analysis, visualization, SQL, and business intelligence skills. The ideal candidate is naturally curious, comfortable working with complex datasets, and skilled at translating analytical findings into visualizations that make information easier to understand and act upon.

Job Duties

·         Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into operations and performance.

·         Explore and analyze data to identify trends, patterns, relationships, anomalies, and opportunities for improvement.

·         Apply statistical analysis and modeling techniques to identify trends and patterns, evaluate business questions, and support informed decision-making.

·         Collaborate with stakeholders across court administration to understand business needs, define requirements, and translate them into effective analytics solutions.

·         Use data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences.

·         Write and optimize SQL queries to extract, combine, validate, and analyze data from multiple sources.

·         Perform data profiling and validation to ensure accuracy, consistency, and integrity of analytical and reporting data.

·         Work with IT teams, data owners, and business stakeholders to investigate data issues and improve data quality and reporting processes.

·         Evaluate existing dashboards and reporting solutions and recommend enhancements to usability, performance, visualization, and analytical value.

·         Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices.

·         Support and advance the organization’s business intelligence capabilities through best practices, reusable solutions, and visualization standards.

·         Help stakeholders become more effective consumers of data by guiding their interpretation of dashboards, metrics, and analytical findings.

Requirements

·         Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.

·         Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.

·         Strong proficiency in SQL and experience working with relational databases and complex datasets.

·         Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.

·         Experience gathering requirements and translating business questions into analytical and reporting solutions.

·         Understanding of data visualization principles, dashboard design, and reporting best practices.

·         Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.

Preferred Professional Skills

·         Strong analytical and problem-solving skills with a curious, investigative approach to data.

·         Ability to move beyond presenting numbers to explain what the data means and why it matters.

·         Excellent written, verbal, and visual communication skills.

·         Ability to communicate analytical and technical concepts clearly to non-technical audiences.

·         Strong attention to detail and commitment to data accuracy and quality.

·         Ability to manage multiple priorities and work independently while collaborating effectively with others.

·         A collaborative and empathetic approach to working with stakeholders with varying levels of technical and data expertise.

·         Strong customer-service orientation and commitment to delivering useful, high-quality analytics solutions.

Preferred Technical Qualifications

·         Experience with Tableau Server or Tableau Cloud, including publishing, permissions, data sources, extracts, and dashboard performance optimization.

·         Familiarity with data warehouses, data lakes, and modern analytics architectures.

·         Familiarity with Microsoft SQL Server and/or SAP ASE/IQ.

·         Experience working with large or complex datasets from multiple systems.

·         Experience supporting data governance, metric definitions, data quality, or reporting standards.

Nice to Have

·         Tableau Certified Data Analyst or similar certification.

·         Experience with Python or R for data analysis, data preparation, or automation.

·         Experience with exploratory data analysis, statistical analysis, or advanced analytics.

·         Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.