Inno Protech

1 month ago

chennai, India Inno Protech Solutions Private Limited Full time

Job Title: R Programmer/Data Analyst

Job Description:

We are seeking a talented and motivated R Programmer/Data Analyst to join our team. As an R Programmer/Data Analyst, you will be responsible for analyzing large datasets, developing statistical models, and creating data visualizations using the R programming language. You will collaborate closely with stakeholders to understand business requirements, design analytical solutions, and deliver actionable insights to drive Analyze complex datasets using statistical techniques and machine learning algorithms in R.

- Develop, implement, and maintain R scripts and packages for data manipulation, statistical analysis, and visualization.

- Clean, preprocess, and transform raw data into formats suitable for analysis and modeling.

- Build predictive models, clustering algorithms, and classification algorithms to solve business problems.

- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data.

- Create interactive data visualizations and dashboards using R packages such as ggplot2, Shiny, and Plotly.

- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

- Communicate findings and insights to stakeholders through reports, presentations, and interactive dashboards.

- Work closely with data engineers to optimize data pipelines and ensure data quality and integrity.

- Stay up-to-date with the latest developments in R programming, statistical modeling techniques, and data visualization tools.

- Provide technical guidance and mentorship to junior analysts and team members.

- Contribute to the development and maintenance of data analysis best practices, standards, and Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Advanced degree (Master's or Ph.D.) preferred.

- Proven experience in data analysis and statistical modeling using R programming language.

- Strong proficiency in R programming and familiarity with R packages for data manipulation (e.g., dplyr, tidyr), statistical analysis (e.g., stats), and data visualization (e.g., ggplot2).

- Experience with machine learning techniques and algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) in R.

- Proficiency in SQL for data querying and manipulation.

- Solid understanding of data structures, data modeling, and database concepts.

- Excellent analytical and problem-solving skills, with attention to detail.

- Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

- Ability to work effectively in a collaborative, cross-functional team environment.

- Proven ability to manage multiple tasks and prioritize workload effectively in a fast-paced environment.

Preferred Qualifications:

- Experience with other programming languages such as Python or SQL.

- Familiarity with big data technologies such as Hadoop, Spark, or Hive.

- Experience with version control systems (e.g., Git) and collaborative coding environments.

- Knowledge of data visualization tools and libraries such as Tableau, Power BI, or matplotlib/seaborn in Python.

- Experience working with large-scale datasets and distributed computing environments.

- Certifications in data science, machine learning, or related fields (e.g., Microsoft Certified: Data Scientist Associate, Google Data Analytics Professional Certificate).

(ref:hirist.tech)

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