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Data Analyst

ASSESS Talent Management

Posted on September 25, 2018

2 - 3 years Cairo - Egypt

Bachelor of Science(Chemistry). Any Nationality

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Job Description

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The Data Analyst is primarily responsible for gathering data, using statistical knowledge and software packages to conduct scientific-based analysis, and turning the relevant data into useful and meaningful information and insights. This encompasses conducting reporting and interpretation activities to provide guidance for making decisions and further improvements to psychometric models.
Duties & Responsibilities :
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work closely with other team members to define new process improvement opportunities and introduce further development to the psychometric models and assessments
Qualifications :
• BSc in Mathematics, Economics, Engineering, Computer Science, Information Management, or Statistics
• Technical expertise regarding data models, and data mining techniques
• Strong knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc)
• Strong experience in report writing and presenting findings
Skills :
• Strong analytical and critical-thinking skills with the ability to collect, organise, analyse, interpret, and disseminate significant amounts of information with attention to detail and accuracy
• Details orientation and logical thinking ability
• Proficiency in written English and in verbal Arabic & English
• Excellent time management and productivity
• Strong technical curiosity and interest to develop personal technical skills
Working Conditions:
• Office based job.

IT - Software Services

IT Software


SAS Data mining SPSS Computer science Data quality Information management Analytical Process improvement Data collection Software packages

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