Team Member, Advanced Analytics at United Bank for Africa (UBA)

Job Description

• Our ideal candidate must have strong knowledge of data management, visualization techniques, statistical analysis, predictive, prescriptive, and descriptive modelling, and advanced business intelligence tools/concepts (Python, SQL/PLSQL/TSQL, Power BI, R Language, etc.) Also, a good understanding of cloud computing is an added advantage.
• In addition, he/she must have the ability to analyze data and make informed business insights, a team player with effective communication and organizational skills.

Job Objective(s)

• 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.

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.

Qualifications

• 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.