R Studio Developer

Infosys; Hyderabad; In loco; INR 600.000 - 1.000.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Hyderabad is seeking a skilled Analyst proficient in R programming to develop and maintain statistical models and data visualizations. Responsibilities include data cleaning, building predictive models, and collaborating with stakeholders to meet analytical needs. Candidates should have strong SQL skills and experience with R libraries such as dplyr and ggplot2. This role emphasizes accuracy and performance in model development, requiring familiarity with Agile practices.

Competenze

• Strong hands-on experience with R Studio and R programming.
• Solid knowledge of statistics and data analysis techniques.
• Experience with common R libraries (dplyr, ggplot2, tidyr, caret, shiny).
• Proficient in extracting data using SQL and handling structured/unstructured data.
• Exposure to data visualization and reporting practices, version control (Git), and Agile methodologies.

Mansioni

• Develop and maintain data analysis and statistical models using R Studio.
• Perform data cleaning, transformation, and exploratory data analysis (EDA).
• Build predictive, regression, and classification models using R.
• Create data visualizations, dashboards, and reports using R libraries.
• Collaborate with business stakeholders to understand analytical requirements.
• Validate models and ensure accuracy, reliability, and performance.
• Document analytical processes, models, and results.
• Support deployment and integration of R models with other applications.
• Troubleshoot data and model-related issues.
• Work in Agile delivery environments and follow best practices.

Conoscenze

R Studio

R programming

statistical functions

dplyr

ggplot2

tidyr

caret

shiny

data visualization

SQL

version control (Git)

Agile practices

Strumenti

dplyr

ggplot2

tidyr

caret

shiny

SQL

Git

Descrizione del lavoro

Qualifications

• Strong hands‑on experience with R Studio
• Proficiency in R programming and statistical functions
• Experience with R libraries such as dplyr, ggplot2, tidyr, caret, shiny
• Good understanding of statistics and data analysis techniques
• Experience working with structured and unstructured datasets
• Strong SQL skills for data extraction and analysis
• Familiarity with data visualization and reporting techniques
• Exposure to version control tools (Git) and Agile practices

Responsibilities

• Develop and maintain data analysis and statistical models using R Studio
• Perform data cleaning, transformation, and exploratory data analysis (EDA)
• Build predictive, regression, and classification models using R
• Create data visualizations, dashboards, and reports using R libraries
• Collaborate with business stakeholders to understand analytical requirements
• Validate models and ensure accuracy, reliability, and performance
• Document analytical processes, models, and results
• Support deployment and integration of R models with other applications
• Troubleshoot data and model‑related issues
• Work in Agile delivery environments and follow best practices