1

Freelance Data Analyst R Programming Jobs in North Carolina

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Collaborate closely with other Data Analysts, Data engineers, Data Architects and Data Scientists ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Collaborate closely with other Data Analysts, Data engineers, Data Architects and Data Scientists ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Collaborateclosely with other Data Analysts, Data engineers, Data Architects and Data Scientists ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ... Analytics and Project management in Banking and Financial Services • Expertise in Predictive ...

Knowing R or Python would be really helpful. Your meticulous approach results in accurate, well ... data analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

Required Qualifications • Bachelor's degree in Engineering, Computer Science, Mathematics ... data analytics role. • Experience creating and maintaining Power BI dashboards. • Strong SQL ...

... other programming tools to improve efficiency and reduce manual effort. * Collaborate with ... Proficiency in Python or R for statistical analysis, automation, and machine learning model ...

Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g. SQL) * Financial Modeling Skills * Knowledge of Excel, Tableau, Microsoft Power BI and various ...

next page

Showing results 1-20

Freelance Data Analyst R Programming information

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

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.
What are the most commonly searched types of Data Analyst R Programming jobs in North Carolina? The most popular types of Data Analyst R Programming jobs in North Carolina are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in North Carolina? For Freelance Data Analyst R Programming jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in North Carolina look for? The top searched job categories for Freelance Data Analyst R Programming jobs in North Carolina are:
What cities in North Carolina are hiring for Freelance Data Analyst R Programming jobs? Cities in North Carolina with the most Freelance Data Analyst R Programming job openings:

Full-time

Posted 22 days ago


Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.