Data Analyst
2775 views | Apply Before: 2023-04-23
Job Summary
No. of Vacancy
1
Job Type
Full Time
Offered Salary
Negotiable
Gender
Any
Career Level
Senior Level
Category
N/A
Experience
2 years of experience in related field.
Preferred Education
Graduate in Computer Science / Engineering or equivalent
Location
Bhaisepati, Lalitpur
Apply Before
2023-04-23
Job Description
  • Deep dive into data to investigate trends, uncover insights, and explore new opportunities for the business growth.
  • Use quantitative analysis techniques, data mining, and data visualization to understand customer behavior towards the services.
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Explore, analyze, and aggregate large data sets to provide meaningful information and create intuitive visualizations to communicate those results to a broad audience.
  • Identify gaps and pioneer new ways to optimize our processes and improve data integrity.
  • Create high-performance, well-tested, and easy-to-maintain code developed based on distributed infrastructure.
  • Compile and analyze data, processes, and code to troubleshoot problems and identify areas for improvement.
  • Collaborate with a diverse group of engineers and business owners across the company.
  • Familiarity with the basic principles of distributed computing and data modeling.
  • Using automated tools to extract data from primary and secondary sources
  • Removing corrupted data and fixing coding errors and related problems
  • Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms and data infrastructures.
     
Job Specification
  • Graduate in Computer Science / Engineering or equivalent from any recognized university with 2 years of experience in related field. 
  • Proficient in OOP Programming Concept
  • Proficient in Data warehouse, Schema & ETL design
  • Proficient in Statistics
  • Proficient in Python & SQL
  • Experience with Power BI or Tableau and
  • Logical thinking and strong problem-solving skills
     
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