Role Overview
We are seeking a highly skilled
Data Analyst R Language SME with strong expertise in statistical programming, data analysis, and data product development using R. The ideal candidate should have hands-on experience in data wrangling, visualization, database interaction, and modern DevOps and agile practices.
Key Skills & Responsibilities
- Strong proficiency in R programming for data wrangling, visualization, statistical analysis, package development, database access, and ensuring reproducibility.
- Working knowledge of Python and SQL for data manipulation and analytics tasks.
- Expertise in SQL and solid understanding of relational database concepts.
- Experience with DevOps practices and tools, including Git version control and CI/CD pipelines.
- Familiarity with building data products using R Quarto and interactive web applications using R Shiny.
- Understanding of testing frameworks in R to ensure code quality and data quality assurance.
- Exposure to Agile software development methodologies.
- Basic to intermediate knowledge of Data Science and Machine Learning techniques.
- Awareness of data governance, compliance, and regulatory standards.
Ideal Candidate Profile
- Strong analytical and problem-solving skills.
- Experience in end-to-end data lifecycle management.
- Ability to collaborate with cross-functional teams and communicate insights effectively.
- SME-level expertise in R ecosystem and modern data tooling.
Skills: sql,r,devops
