Data Analyst
Access Bank
Lagos, Nigeria
6d ago
source : Fuzu

Requirements

  • Bachelor's and / or advanced degree with a concentration in Data Analytics; Finance; Computer Science, Management Information Systems, or Statistics / Mathematics
  • 2-6 years' working experience as a data analyst or business data analyst, preferably in the financial services industry
  • 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 analysing datasets (Excel, SPSS, SAS etc.)
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Ability to learn and dedication to service delivery
  • Proficiency in office automation tools (e.g., Microsoft Office, etc.)
  • Proficiency in SQL
  • Relevant Professional Certifications
  • What you will be doing

  • Work with other cross-functional technical teams and will serve as a key player in the Advanced Analytics team of the DMO
  • 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 set
  • Work with management to prioritize business and information needs
  • Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Locate and define new process improvement opportunities
  • Responsible for discovering the information hidden in vast amounts of data
  • Make smarter decisions to deliver even better products, services, improve our customer relationship as well as optimize our business processes
  • Facilitate the computerization of analytics and data collection processes
  • Provide analyses for large datasets necessary for decisions using actionable insights
  • Enhancing data collection procedures to include information that is relevant for building analytic system
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