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Elitemet Solutions Hiring Drive 2024 | Data Analyst / Data Scientist (Power BI / Python) | WFH

Elitemet Solutions Hiring Drive 2024: Elitemet Solutions Hiring Drive 2024 for its Data Analyst / Data Scientist (Power BI / Python). Elitemet Solutions Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Computer science, Maths, or Statistics. If you are interested, please apply as soon as possible.

Company Name: Elitemet Solutions

Role: Data Analyst / Data Scientist (Power BI / Python)

Location: Remote

Experience: 0 – 1 years

Qualification: Bachelors degree in Computer science, Maths or Statistics

Batch: Any

Job Type: Full Time

Salary: INR 400,000 – 500,000 LPA

Elitemet Solutions Hiring Drive 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)

Responsibility:

  • 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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