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.
Requirements:
- 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.
Responsibility:
- 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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