Data Analyst

Apr 18, 2017 12:31 pm

SSL Wireless Company Name: SSL Wireless

Job Title: Data Analyst

Job Type: Full Time

Job Category: IT & Telecommunication

Deadline: 16 May,2017

Educational Qualification:

BSc in Accounting, Computer Science, Information Management or Statistics/Mathematics.

 

Experience:

Must have 2 years’ experience in similar field (Candidates from Bank/financial institute is preference)

 

Requirement:
  • Proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings

 

Other Opportunities:

Salary:

  • Negotiable

Others Benefits:

  • Five days a work week
  • 2 festival bonuses annually
  • Annual leave encashment
  • Subsidized lunch facility
  • Congenial & friendly working environment
  • Mobile Allowance

 

Instruction :

Application Deadline: May 16, 2017

http://jobs.bdjobs.com/jobOnlineapply.asp

Company Information
SSL Wireless
Address : 93 B New Eskaton Road
Web : www.sslwireless.com

 

Job Detail:

SSL Wireless is a fast growing IT company that offers software solutions and services for business organizations including banks, financial institutes, telecom, media, e-commerce, etc. We are revolutionizing the way our clients operate their businesses and are continuing to grow our team.

Job Title: Data Analyst

Responsibilities and Desired Skills:

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