R Programmer

Envisioned Strategy Consulting; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading consultancy seeks a data analyst proficient in R programming to develop advanced analytics solutions. You will perform statistical analyses, collaborate with various teams, and ensure high-quality deliverables. Ideal candidates possess strong problem-solving skills and extensive experience with complex datasets.

Qualifications

• 5+ years of professional experience in R programming.
• Strong proficiency in R packages such as dplyr, tidyr, ggplot2, and shiny.
• Experience with large and complex datasets.

Responsibilities

• Develop and maintain R-based scripts for data analysis.
• Conduct statistical analyses and provide actionable insights.
• Create interactive data visualizations using R packages.

Skills

R programming

Statistical analysis

Data visualization

Data manipulation

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Job description

Roles and Responsibilities:

1. Develop and maintain R-based scripts, packages, and applications for data analysis, modeling, and visualization

2. Conduct statistical analyses, including hypothesis testing, regression analysis, and predictive modeling, to derive actionable insights from complex datasets.

3. Collaborate with cross-functional teams to understand business requirements, design data analysis solutions and deliver high-quality deliverables on time.

4. Perform data manipulation, cleaning, and transformation tasks to prepare raw data for analysis.

5. Create interactive and informative data visualizations using R packages such as ggplot2, plotly, and shiny.

6. Provide technical expertise and support to internal stakeholders, including data scientists, analysts, and business users.

7. Stay abreast of latest developments in R programming language, statistical techniques, and data visualization tools.

Required Qualification:

1. Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field.

2. Strong proficiency in R programming, including experience with R packages such as dplyr, tidyr, ggplot2, and shiny.

3. Solid understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and machine learning algorithms.

4. Experience working with large and complex datasets, performing data cleaning, transformation, and analysis tasks.

5. Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

6. Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality work.

7. Experience with other programming languages such as Python, SQL, or Java is a plus.

Experience Required:

5+ years of professional experience in R programming language, with proven expertise in statistical analysis, data manipulation, and visualization