Data Analyst

23 hours ago

Amman, Amman, Jordan Bank of Jordan Full time 80,000 - 120,000 per year

Use data analytics to improve the bank's efficiency and enhancing business performance; by understating business requirements, gathering, creating implemented and mentor driven data analytics, transforming, analyzing, and using data to identify trends, develop models, and make recommendations.

Job Duties:

  • Gather data from all relevant sources, data transformation, aggregation and cleansing using automated advanced tools.
  • Recognize, extract, and interpret data trends from large and complex data sets.
  • Develop and implement data analysis, data collection tools and recommend ways to improve data reliability, efficiency, and quality.
  • Provide support and input in needed approach, methodology and requirements for identified analytics use cases.
  • Data feasibility assessment for potential analytics use cases and data initiatives.
  • Adhere to applicable policies, practices and standards (data quality, data protection, etc.), and identify issues affecting analytics and recommend remedial actions.
  • Apply advanced analytics, modelling and analysis techniques to develop analytical models and tools that help the bank achieve its objectives and goals.
  • Responsible for implementation, progress, and operations of the various use cases and ensure that the use case serves the business objectives and KPIs.
  • Provide recommendations on the enterprise data model, & data architecture.
  • Work with relevant stakeholders to understand business and identify opportunities for high impact analytics use cases across the bank.
  • Continuously identify areas of improvement in analytics models and use cases.
Requirements
  • Bachelor's degree in computer science, AI, Data Science, or related field.
  • Minimum 3 years of experience in data analytics.
  • Proficiency in data analysis tools such as SQL, R, or Python.
  • Strong analytical and problem-solving skills.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Knowledge of statistical analysis and modeling techniques.
  • Excellent communication and presentation skills.
  • Strong attention to detail and ability to work with complex datasets.
  • Ability to work independently and in a team environment.

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