Data Analyst - R Shiny

Job Description : Key Skills : - R, R Shiny, SQL, Python, MS SQL Server, AWS S3, GitHub, Data Visualization, Data Analysis, Excel Roles & Responsibilities : - Develop and maintain data applications using R and R Shiny. - Build and enhance data visualization dashboards and reporting solutions. - Write and optimize SQL queries for data extraction and analysis. - Troubleshoot and resolve issues in production applications and data workflows. - Develop and maintain R packages and reusable code components. - Create database connections and support data delivery to Excel and reporting tools. - Work with AWS S3 for data storage and management activities. - Collaborate with business and technical teams to deliver data solutions. - Maintain technical documentation and support operational activities. - Participate in testing, deployment, and continuous improvement initiatives. Experience Required : - 5 to 8 years of experience in Software Development and Data Analytics. - Strong hands-on experience with R programming and R package development. - Experience building applications using R Shiny. - Strong SQL skills with experience in relational databases and MS SQL Server. - Experience with data visualization, reporting, and analytics solutions. - Working knowledge of Python for data processing and automation tasks. - Experience with AWS S3 and cloud-based data storage. - Familiarity with GitHub and version control practices. - Strong troubleshooting, debugging, and problem-solving skills. - Good communication and collaboration skills. Job Description : Key Skills : - R, R Shiny, SQL, Python, MS SQL Server, AWS S3, GitHub, Data Visualization, Data Analysis, Excel Roles & Responsibilities : - Develop and maintain data applications using R and R Shiny. - Build and enhance data visualization dashboards and reporting solutions. - Write and optimize SQL queries for data extraction and analysis. - Troubleshoot and resolve issues in production applications and data workflows. - Develop and maintain R packages and reusable code components. - Create database connections and support data delivery to Excel and reporting tools. - Work with AWS S3 for data storage and management activities. - Collaborate with business and technical teams to deliver data solutions. - Maintain technical documentation and support operational activities. - Participate in testing, deployment, and continuous improvement initiatives. Experience Required : - 5 to 8 years of experience in Software Development and Data Analytics. - Strong hands-on experience with R programming and R package development. - Experience building applications using R Shiny. - Strong SQL skills with experience in relational databases and MS SQL Server. - Experience with data visualization, reporting, and analytics solutions. - Working knowledge of Python for data processing and automation tasks. - Experience with AWS S3 and cloud-based data storage. - Familiarity with GitHub and version control practices. - Strong troubleshooting, debugging, and problem-solving skills. - Good communication and collaboration skills.