R Shiny Developer - Data Analytics

Job Description :

We are seeking a full-time R Developer. As an R Developer, you will be responsible for developing, implementing, and maintaining R-based models for data analysis. You will work closely with a team of data analysts and engineers to identify opportunities for data-driven insights and provide customized solutions.

Qualifications :

- Proficient in R Programming Language along with RShiny

- BE/BTech/MTech in Computer Science, Statistics, or a related field.

- 4 to 7 years of experience working as an R Programmer or in a similar role.

Experience Requirements :

- Strong proficiency in R programming language and its packages, such as ggplot2, dplyr, and tidyr.

- Solid understanding of statistical concepts and experience with statistical analysis.

- Experience with data cleaning, transformation, and manipulation.

- Proficiency in SQL and relational databases.

- Ability to effectively communicate complex data analysis findings to both technical and non-technical stakeholders.

- Attention to detail and strong problem-solving skills.

- Experience in developing R-based models for data analysis

- Experience with Big Data frameworks such as Hadoop and Spark

- Experience with relational databases and SQL

- Experience with data visualization techniques and tools such as ggplot2 and Shiny

- Strong understanding of statistical analysis and algorithms

- Ability to communicate effectively and collaborate with cross-functional teams

- Experience with machine learning and deep learning is a plus

- Experience with data mining. and data cleaning is a plus

- Experience with version control systems, such as Git, is a plus.

- Knowledge of other programming languages, such as Python or Java, is a plus.

- Proficient in R programming language.

- Extensive experience with Shiny and ShinyProxy for developing interactive web applications.

- Strong understanding of data visualization principles and best practices.

- Knowledge of web development technologies, including HTML, CSS, and JavaScript.

- Experience working with data manipulation and analysis in R.

- Ability to work collaboratively in a team environment.

- Excellent problem-solving skills and attention to detail.

- Effective communication skills for interacting with both technical and non-technical stakeholders.

Roles And Responsibilities :

- Design and develop R-based applications and programs to analyze data and generate insightful reports.

- Collaborate with cross-functional teams to understand data requirements and design appropriate analytical solutions.

- Utilize statistical techniques and machine learning algorithms to identify patterns and trends in the data.

- Clean and preprocess data to ensure accuracy and quality of analysis.

- Create visualizations and dashboards to effectively present findings to stakeholders.

- Optimize and fine-tune existing R scripts to improve performance and efficiency.

- Stay up-to-date with the latest developments in R programming and related technologies.

- Provide support and guidance to team members on R programming best practices

- Develop, implement, and maintain R-based applications using ShinyProxy for interactive and user-friendly data visualization.

- Collaborate with cross-functional teams to understand project requirements and translate them into effective ShinyProxy applications.

- Design and optimize Shiny applications for performance, responsiveness, and scalability.

- Integrate ShinyProxy applications with data sources, databases, and other third-party systems.

- Ensure code quality, testing, and documentation standards are met for Shiny applications.

- Stay updated on the latest trends and best practices in R development and ShinyProxy usage.

- Troubleshoot, debug, and resolve issues related to ShinyProxy applications.