Job Description

We are seeking an experienced R Consultant to support our client's data analytics, statistical modeling, and data visualization initiatives. The ideal candidate will have strong expertise in R programming , data manipulation, and statistical methodologies to help drive data-driven decision-making. This role involves working with large datasets, developing predictive models, and providing insights through data visualization and reporting.

Key Responsibilities:

• Develop, optimize, and maintain R scripts for data analysis, statistical modeling, and reporting.
• Perform ETL (Extract, Transform, Load) processes to clean, process, and manipulate large datasets.
• Implement machine learning models and statistical techniques for predictive analytics.
• Conduct exploratory data analysis (EDA) and provide actionable insights.
• Integrate R with other platforms and databases , such as SQL, Python, or cloud services (AWS, Azure, Google Cloud).
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Document and maintain codebase, workflows, and best practices for reproducibility and scalability.
• Provide mentorship and training on R programming and best practices to internal teams.

Required Qualifications:

• 4+ years of experience in R programming for data science, analytics, or statistical modeling.
• Proficiency in R libraries such as dplyr, ggplot2, tidyr, Shiny, caret, and data.table .
• Experience working with structured and unstructured data .
• Strong understanding of statistical concepts, regression analysis, hypothesis testing, and time-series analysis .
• Hands-on experience with data wrangling, transformation, and cleansing .
• Knowledge of SQL and database management .
• Familiarity with cloud-based analytics platforms (AWS, Azure, or GCP).
• Experience with version control tools like Git .
• Strong problem-solving skills and ability to work independently or in a team environment.
• Excellent communication skills to present findings to technical and non-technical stakeholders.

Preferred Qualifications:

• Experience integrating R with Python and other programming languages.
• Knowledge of BI tools such as Power BI, Tableau, or Looker .
• Familiarity with parallel computing and performance optimization in R.
• Experience in specific industries such as finance, healthcare, or government analytics .
• Advanced degree (Master’s or PhD) in Statistics, Data Science, Computer Science, or a related field .

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