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Freelance Data Analyst R Programming Jobs in Georgia

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.

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

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 ...

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 ...

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 ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Experience in Statistical techniques (R, hypothesis testing). Best Regards, David Miller | PH: 224 ...

... Math, Engineering, Economics or related field; Advanced degree preferred Proficient with SQL ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

... Math, Engineering, Economics or related field; Advanced degree preferred Proficient with SQL ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Develop and manage capital budgets and financial forecasts for engineering and construction project portfolios. * Analyze financial and operational data to identify trends, forecast results, and ...

A Data Analyst leverages technical abilities to synthesize complex analytical tasks into easily ... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building ...

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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 Georgia? The most popular types of Data Analyst R Programming jobs in Georgia are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Georgia? For Freelance Data Analyst R Programming jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Georgia look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Georgia are:

Full-time

Posted 5 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.