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Data Analyst Assistant at Yaphi Tech Nigeria Limited

Yaphi Tech Nigeria LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Yaphi Tech Nigeria Limited is a Leading Lifestyle brand, essentially created to provide great quality products, from luxury wristwatches, bags, make-up, sneakers, home and electronic appliances, at affordable prices.

Responsibilities

  • Interpreting data, and analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases
  • 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.

Requirements and Skills

  • B.Sc in Mathematics, Economics, Computer Science, Information Management or Statistics
  • 1 - 2 years relevant work experience.
  • Proven working experience as a Data Analyst or Business Data Analyst
  • Technical expertise in data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), and 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
  • Acquiredata 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 toprioritizebusiness and information needs
  • Locate and define new process improvement opportunities.

Method of Application

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