Vellore, Tamil Nadu, India
Information Technology
Full-Time
ETG India
Overview
Job Description
At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence.
Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data : 0 to 2 years
Knowledge Of The Following Will Be Advantageous
Selected candidates will be responsible for the following :
At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence.
Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data : 0 to 2 years
Knowledge Of The Following Will Be Advantageous
- SQL Query writing
- MS Power BI
- Python/R for data science
Selected candidates will be responsible for the following :
- Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
- Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.
- Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.
- Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
- Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights.
- Understand requirements given by business users in the functional domain.
- Access data stored in databases/warehouses/flat files.
- Create/test/deploy intuitive and interactive, analytical dashboards.
- Create algorithms in Python/R for advanced analytics.
- Create data governance policies like RLS to manage data security.
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