ABSA Bank Zambia
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Job Summary
To assist the business in tracking business performance analyses of Banking functions
To assist key stakeholders across the Bank in the daily business management of the function
To assist the Head of Data Science in the management of tasks and accountability
Job Description
Main accountabilities and approximate time split
Accountability: Developing Capability (10%)
Develop and understanding of existing Operations related data and create a system of analysing data
Help design a system for performance measurement and efficiency in conjunction with the centre
Help design new ways of reporting and increasing efficiency within the team
To perform assigned tasks diligently, communicating with passion, enthusiasm and embracing change as a way of working
Pursue own development to increase personal effectiveness, acknowledging strengths and areas for development
Self-assessment of own skills gaps and development needs and communication of these to line manager
Business Management (60%)
Design, production and circulation of MI reports (Daily, Weekly, Monthly and adhoc)
Conduct analyses that will inform business performance and help the business make informed decisions
Support business by identifying key issues around products and channels, portfolios and controls to promote the right behaviour
Populate the Retail balanced score card monthly for circulation to stakeholders
Ensure branch profitability inputs are availed as an when required and work with FDS business partner to close
Produce weekly detailed productivity trackers
Arrange regular meetings with stakeholders to align to both tactical and strategic business plans
Production on a monthly basis analysis designed to show information on progress against short term plan and business objective
Obtain and analyse data relating to support functions and, drawing appropriate conclusion
Ongoing work on data integrity ensuring that performance information relating to the support functions is correct and accurate
Assist in managing the accounting and planning operations of support functions
Manage the production of MI and the production of performance management base data for staff performance models
Attend calls and meetings as and when required in a punctual and organised manner
Any other duties that may be assigned from time to time by line manager
Be a full back up to other analysts covering RBB function
Leadership and Management of Data & Analytics Champions (10%)
Coach, mentor and develop Data and Analytics champions in the COO function to ensure they display sound management behaviours and skills.
Play a leadership role in ensuring sound HR practices and adherence to policies and standards within the business unit/function
Develop and maintain excellent staff relationships within own team and wider team to ensure achievement of business goals.
Data Quality and Control (20%)
Ensure all reports produced, published and circulated meet data quality standards and that the logic used is reviewed by the Data Quality and Governance Manager
Ensure all standard reports are saved on the shared drive to ensure business continuity
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, ARO Operational Risk Framework and internal Absa Policies and Standards
Manage own data access credentials and ensure these are used within accepted standards and parameters
Technical skills / Competencies
SQL programming
Hadoop development (hive and HQL)
Data science modelling experience with Python/R
Proficiency in MS Excel and Powerpoint
Analytical skills
Presentation skills
Ability to communicate well both verbally and in writing
Result driven
Self-starter
Team Player
Knowledge, Expertise, Experience & Attributes
A good understanding of the role of Data MI Analytics as a support function
A good knowledge of bank policies and procedures.
Knowledge of commercial banks and other bank processes
A clear understanding of the business.
Understanding of Absa Bank Zambia PLC Finance Organisational Design and the interfaces with other functions
Successful track record of delivering results and managing change
Ability to work under pressure
Ability to meet tight deadlines
Experience & qualifications
Essential
Degree in Computer Science/Engineering
Good and practical understanding of Amazon Web services Data Science tools – Sagemaker, Kubernates
Education
Higher Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)
Deadline: 10/02/2023
To apply for this job please visit absa.wd3.myworkdayjobs.com.