Job Description

• Identify unique business challenges and match these challenges with relevant data and resources, establish processes with growth capacity and institutionalize analytics to ensure key decision-makers have access to actionable results.
  
• Business Insight and Analytics.
  

Qualification:

• Bachelor's Degree in any field.
  
• Master’s Degree or a professional qualification will be an advantage.
  
• Minimum of 3 years of relevant experience.
  

Knowledge / Skills Required:

• Extensive knowledge of the bank’s policies and products
  
• Microsoft Excel
  
• MS PowerPoint
  
• Excellent interpretation of business needs into operational requirements.
  
• Advanced knowledge of business intelligence tools.
  
• Good understanding of Analytical trends and solutions in use in the Nigerian Banking Industry
  
• Knowledge of the business environment
  
• Strong relationship and Analytical skills management
  
• Advanced interpersonal and communications skills.
  
• Good understanding of machine learning
  
• Knowledge of data management and visualization techniques
  
•  Knowledge of statistical analysis and predictive modelling
  
•  Strong organizational and leadership skills
  
•  Excellent communication skills
  
•  A business mind-set
  

Tools Required:

• Python
  
• SQL/PLSQL/TSQL
  
• Power Bi
  
• R (added advantage)
  
• Azure data bricks (added advantage)
  
• Azure data factory (added advantage)
  
• Azure synapse (added advantage)
  

What We Expect From You:

• High degree of professional ethics, integrity and responsibility.
  
• Highly organised, proactive, ability to work independently and take ownership of tasks assigned.
  
• Team player with the ability to work under pressure and ability to work with a wide variety of people and maintain an excellent business relationship.
  
• High sense of confidentiality and discreteness.
  

What You Should Expect From Us:

• Our corporate culture is defined by our core values.
  
• We do not just train our people to be the best in the job, we also offer encouragement, recognition, and rewards.
  
• Whatever level you are at in your career, we offer plenty of opportunities and support to build a rewarding career at UBA.
  
• Here in UBA, our employees are our greatest assets and so we built a recognition and reward system that boosts productivity and enhances staff retention, instituting a culture of meritocracy.
  

Job Description

• Identify unique business challenges and match these challenges with relevant data and resources, establish processes with growth capacity and institutionalize analytics to ensure key decision-makers have access to actionable results.
  
• Business Insight and Analytics.
  

Qualification:

• Bachelor's Degree in any field.
  
• Master’s Degree or a professional qualification will be an advantage.
  
• Minimum of 3 years of relevant experience.
  

Knowledge / Skills Required:

• Extensive knowledge of the bank’s policies and products
  
• Microsoft Excel
  
• MS PowerPoint
  
• Excellent interpretation of business needs into operational requirements.
  
• Advanced knowledge of business intelligence tools.
  
• Good understanding of Analytical trends and solutions in use in the Nigerian Banking Industry
  
• Knowledge of the business environment
  
• Strong relationship and Analytical skills management
  
• Advanced interpersonal and communications skills.
  
• Good understanding of machine learning
  
• Knowledge of data management and visualization techniques
  
•  Knowledge of statistical analysis and predictive modelling
  
•  Strong organizational and leadership skills
  
•  Excellent communication skills
  
•  A business mind-set
  

Tools Required:

• Python
  
• SQL/PLSQL/TSQL
  
• Power Bi
  
• R (added advantage)
  
• Azure data bricks (added advantage)
  
• Azure data factory (added advantage)
  
• Azure synapse (added advantage)
  

What We Expect From You:

• High degree of professional ethics, integrity and responsibility.
  
• Highly organised, proactive, ability to work independently and take ownership of tasks assigned.
  
• Team player with the ability to work under pressure and ability to work with a wide variety of people and maintain an excellent business relationship.
  
• High sense of confidentiality and discreteness.
  

What You Should Expect From Us:

• Our corporate culture is defined by our core values.
  
• We do not just train our people to be the best in the job, we also offer encouragement, recognition, and rewards.
  
• Whatever level you are at in your career, we offer plenty of opportunities and support to build a rewarding career at UBA.
  
• Here in UBA, our employees are our greatest assets and so we built a recognition and reward system that boosts productivity and enhances staff retention, instituting a culture of meritocracy.
  

Responsibilities

• Building models based on what is obtained on descriptive pattern.
  
• Providing estimations based on data trends.
  
• Provide recommendations based on what happened in the past.
  
• Use of Machine Learning and Artificial Intelligence.
  
• Use of Intelligence Algorithms to build up insightful engaging customers’ needs.
  
• Generating large databases from various sources of structured and unstructured data.
  
• Analyze data and generate statistical information to identify trends and patterns.
  
• Provide recommendations on how to apply analytics to extract business-critical insights, and data visualization is key.
  
• Develop interactive dashboards that combine visuals with real-time data.
  
• Reporting the results back to the relevant members of the business for necessary insights.
  
• Building scalable machine learning pipelines and using feature engineering and optimization methods to improve data set performance.
  
• Ensure data quality and integrity.
  
• Interpret and analyze data problems.
  
• Conceive, plan and prioritize data projects.
  
• Build analytic systems and predictive models.
  
• Test performance of data-driven products.
  
• Visualize data and create reports.
  
• Experiment with new models and techniques.
  
• Align data projects with organizational goals.