RBHU Analytics - Data Analyst - Python/SQL

ETG India; Navi Mumbai; On-site; INR 3,00,000 - 5,00,000; Full time

Job summary

A technology solutions company is seeking a data analyst in Navi Mumbai. The ideal candidate should be a bright, young engineer with good mathematics skills and a keen interest in data analytics. Responsibilities include data cleaning, analysis, visualization, and collaboration with various departments. Candidates with 0 to 1 year of experience are welcomed.

Qualifications

• Bright, young engineers with an interest in data analytics/science.
• 0 to 1 year of experience in data analytics.

Responsibilities

• Data cleaning and preparation for accuracy and relevance.
• Data exploration and analysis using statistical tools.
• Create visual representations of data findings.
• Prepare reports to communicate insights to stakeholders.
• Collaboration with departments to understand data needs.
• Access data from databases/warehouses.
• Create, test, and deploy analytical dashboards.
• Develop algorithms for advanced analytics.
• Establish data governance policies.

Skills

Good mathematics skills

SQL Query writing

MS Power BI

Python/R for data science

Job description

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 analytics/science.

Experience : 0 to 1 year

Knowledge Of The Following Will Be Advantageous

• SQL Query writing
• MS Power BI
• Python/R for data science
  
  

Responsibilities

• 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.
  
  

(ref:hirist.tech)