Razormet Technologies Internship 2024: Razormet Technologies Internship 2024 for its data Analyst Trainee / Intern. Razormet Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: Razormet Technologies
Role: Data Analyst Trainee / Intern
Location: Manipur
Experience: Freshers
Qualification: Bachelors degree in Computer science, Maths or Statistics
Batch: Any
Job Type: Full Time
Salary: ₹400K/yr – ₹500K/yr
Razormet Technologies Internship 2024
Job Description:
- We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.
- Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design.
- Data analysts will develop analysis and reporting capabilities.
- They will also monitor performance and quality control plans to identify improvements.
Requirements:
- Proven working experience as a data analyst
- Bachelors degree in Computer science, Maths or statistics
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Hands on experience with SQL database design (advanced)We are looking for a passionate certified Data Analyst.
- The successful candidate will turn data into information, information into insight and insight into business decisions.
- Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design.
- Data analysts will develop analysis and reporting capabilities.
- They will also monitor performance and quality control plans to identify improvements.
Responsibilities:
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
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