Job Title: Data Analyst
Organisation: ABSA Bank Uganda
Duty Station: Kampala, Uganda
About Organisation:
Absa Group Limited (formerly Barclays Bank UK) is a diversified standalone African financial services group, delivering an integrated set of products and services across personal and business banking, corporate and investment banking, wealth, investment management and insurance. Absa Group Limited is listed on the JSE and is one of Africa’s largest diversified financial services groups with a presence in 12 countries across the continent and around 41 000 employees
Job Summary: Reporting to Head, Data Analytics – Retail and Business Banking, the Data Analyst has the responsibility of providing daily accurate information on business direction through planning and driving MI processes interpretation of business performance data both financial and non-financial for Retail and Business Banking and continually reviews and analyze operational cost efficiencies. This requires the role holder to have regular contact with other bank team units as well. Also, the purpose of the role includes:
- Develop and Monitor Data in Retail and Business Banking.
- Collect and submit key KPI for Retail and Business Banking.
- Coordinate communication cascades and escalate feedback to the Head, Data Analytics.
- Innovate Data through usage of available tools
- Prepare performance review packs and make presentations to relevant users of Data
- Convene stakeholder meetings to ventilate emerging Data
- Review, Refresh or Re-engineer Analytics outputs in a constantly changing
- Data environment and identify areas where improvements are needed
- Develop and design performance dashboards and automate them for seamless reporting
Key Duties and Responsibilities:
Data Development, Automation, Business Intelligence and Analytics
Outputs:
- Development and Implementation of the Retail and Business Banking performance Management process, working with the Segment Heads to translate/relate business objectives into role specific performance plans for our people.
- Ensure that data intelligence models and tolls are designed for monitoring and are applied as well as adopted.
- Embed the importance of data Integrity, Quality and Governance.
- Analyze data for Retail and Business Banking and Provide recommendations for improvement.
- Identify and evaluate improvements in performance and present in a compelling and coherent manner.
- Provide Business intelligence information and recommendation to Leadership.
- Champion initiatives across Retail and Business Banking via relevant MI and data generation.
- Planning, organising and controlling the data analytics reporting framework.
- Develop self-serving dashboards.
- Automate all manual spreadsheets and processes to improve internal customer experience and improving reporting TAT.
- Develop new data solutions including data marts, MI and Analytical models.
- Projects and Initiatives lead.
People and Team Work
Outputs:
- Work closely with the analytics team to deliver exceptional business performance through the provision of first-class insights and recommendations as well as business improvement initiatives.
- Share best practise with, and provide feedback to, other members of the Analytics team on all business and people related issues, climate and local development and initiatives.
- Build effective relationships, influence and motivate team leaders to ensure their wholehearted commitment to effective application of performance management
Self-Development
Outputs:
- Pursue self-development to increase personal effectiveness, acknowledging strengths and areas for development.
Governance, Control and Risk
Mandatory Risk and Control objective
Outputs
- Understand technical/regulatory matters affecting the business. Ultimate responsibility for the continuing compliance.
- Ensure Governance, Compliance, Risk and Control are implemented and adhered to meet Group Standards by Centre.
- Staff at all levels to be clear on what is expected of them. Any new regulatory or Group requirements are implemented and reviewed throughout Absa in a timely fashion.
- Technical skills/competencies
Time split:
Essential
- Excellent programming and system modelling skills; data modelling, structured analysis, object-oriented analysis, programming tools: Visual Basic, web programming: HTML, XML, XSLT, PHP, AJAX, Python, R, etc
- Excellent skills in data mining, relation database management systems and programming languages:
- Ability to query databases like MySQL, MSSQL, Hadoop and PostgreSQL.
- Ability to efficiently play and manoeuvre with large sums of data to accurately derive intended result
- Database administration and development skills
- Report Automation.
- Good reporting and presentation skills using modern Data Analytics and AI tools like Power BI and many more like tool.
- Excellent business analytical skills for performance measurement and reporting.
- Commercial and business awareness
Teamwork
Data Architecture, Culture, Governance and Monetization
- Knowledge and Expertise, Experience (relating to specialist knowledge and expertise required to undertake the role. May include knowledge of the Bank’s products, services and policies)
Qualifications, Skills and Experience:
- University degree preferably in Statistics, Mathematics, Computer Science, Information Technology, Physics, (Essential)
- Data Engineering or Data Science related certifications [Essential].
- Experience in programming and data mining (Essential)
- Excellent understanding of Retail and Business Banking products & services
Key Success Measures / Key Performance Indicators
Essential
- Delivering concise analysis sourced from a considerable volume of data.
- Highly accurate assessments to ensure effected business decisions are robust.
- The role holder will be responsible for making presentations to RBB Leadership and Pan Bank stakeholders.
- Strong analytical skills and ability to handle complex issues
- Innovating and problem-solving skills
How to Apply:
All suitably qualified and Interested applicants should apply online at the link below.
NB: Only shortlisted candidates will be contacted.
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Level of Education: bachelor degree
Work Hours: 8
Experience in Months: no experience