Fortran Steel Hiring Drive 2024 For Data Analyst | Location Mumbai

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Fortran Steel Hiring Drive 2024: Fortran Steel Hiring Drive 2024 for its Data Analyst. Fortran Steel Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in a relevant field. if you are interested, please apply as soon as possible.

Company Name: Fortran Steel

Role: Data Analyst

Location: Mumbai

Experience: 1 to 3 years

Qualification: Bachelor’s degree in a relevant field

Batch: Any

Job Type: Full Time

Salary: 20K – ₹ 25K (Per Year)

Fortran Steel Hiring Drive 2024

Job Description:

  • Fortran Steel Pvt Ltd is seeking a Data Analyst to join our team.
  • As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights that will support our company’s decision-making process.
  • You will work with a wide range of data sources to identify trends, patterns, and opportunities for improving our operations and products.


  • Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in data analysis tools and software, including Excel, Python, R, and SQL.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Knowledge of statistical analysis and machine learning techniques.
  • Attention to detail and accuracy.
  • Effective communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Familiarity with the steel manufacturing industry is a plus.


  • Data Collection: Collect, organize, and maintain data from various sources within the company, including databases, spreadsheets, and external data providers.
  • Data Analysis: Analyze large datasets to identify trends, correlations, and anomalies.
  • Use statistical methods and data visualization tools to present findings.
  • Data Modeling: Develop and maintain predictive models and algorithms to support decision-making processes.
  • Report Generation: Create clear and concise reports that communicate data-driven insights to different stakeholders within the organization.
  • Data Quality Assurance: Ensure data accuracy and reliability through data cleaning and validation processes.
  • Data Integration: Integrate data from multiple sources to provide a holistic view of the company’s performance.
  • Data Visualization: Create data visualizations and dashboards to make complex data accessible and understandable to non-technical team members.
  • Stay Current: Keep up-to-date with the latest data analysis tools, techniques, and trends to continually improve the company’s analytical capabilities.

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