Lahore

Job Description

Job Title Data Analyst Job Category Product Management
Department Counselling Job Code 0019/14
Salary Range: PKR 30,000 - 35,000 per month Position Type Full time, Permanent
Travel Required Minimal, if required Location Lahore

Dignosco is a social enterprise that provides College and Career Counseling across Pakistan, North America, Europe, Middle East and Far East Asia. We have offices in Lahore and Karachi led by a team of young professionals with a background in Social Sciences Research, Investment Banking, Asset Management and Private Equity. They have attended Yale, Oxford, UCL, National University of Singapore and LUMS.

Read more: https://www.facebook.com/Dignosco

E-MAIL YOUR RESUME TO:

hr@dignosco.org
Subject: Application for Assistant Manager, Counselling Department, Job code; 0019/14

OFFICE ADDRESS:

255 CCA, FF Block, Phase IV, DHA Lahore

Role and 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

QUALIFICATIONS AND EDUCATION REQUIREMENTS

BS in Mathematics, Economics, Computer Science, Information Management or Statistics from a reputable local or international University.

PREFERRED SKILLS

  • 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)