Summary
Date Posted: Friday, January 10 2025, Base Salary: Not Disclosed

JOB DETAILS:
Empowering Africa’s tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
My Career Development Portal: Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.

Job Summary
 The role holder is responsible for coordinating the business intelligence, analytics, and data engineering activities at the bank. To provide strategic guidance, technical design, and quality assurance over implementation of self-service analytics and data infrastructure implementation. Undertake regular research and development to introduce more efficient tools and ways of working.

Job Description
Key responsibilities and approximate time split :
Management Support
Design and implement the Business Intelligence strategy and deliver the required insights needs.
Ensuring alignment of business intelligence strategy with overall bank strategy.
Support Head of Strategy and Data in design and implementation of data strategy
Oversee collection and analysis of requirements for business intelligence and data centered solutions.
Provide tools to team members who collect requirements and perform data analysis to ensure consistent approach to delivery of value and quality.
Prioritize business requirements and provide feedback to unit heads on priority listings
Set up measurement and performance standards of BI solution by facilitating collection of metrics on all solutions developed for consolidation in the Data value tracker
Facilitate learning and development of team members and bank staff on data literacy and use of bank BI solutions.
Review planned and anticipated projects on monthly basis to ensure consistency in solution development and alignment to overall bank objectives communicated by Unit heads
Continuously review analytics solutions in place to identify improvements and develop action plans
Provide input on design of business solutions by ensuring MI requirements are embedded into the project plans.
Coach team members on how to interpret reports and analytical outputs and integrate subject matter to derive relevant insights.
Ensure that structures are in place to collect both data needs and MI automation needs from the business through helpdesks and other structures for consistent engagement and ensure service within agreed SLA.
Agree targets and take overall accountability for achievements of performance objectives for the department.
Provide clear direction to team members on areas strategic plan and focus areas
Embed high performance culture in team by creating effective structures for distributed leadership, open feedback, and objective performance measurement
Motivate staff and ensure efforts are recognized and provide first level of escalation for staff grievances
Facilitate design of technical data and self-service architecture to support BI.
Design best in class standards for solution development to be implemented by Analysts, Developers, and data engineers
Ensure that core data governance standards as defined by Data Governance are implemented and maintained including quality and privacy.
Risk and Control
Manage risk and control effectively by applying applicable risk frameworks and embedding a positive risk culture
Understanding of own role in the end to end processes in which you play a part, including applicable risks and controls.
Adhere to Absa’s policies and procedures applicable to own role, demonstrating sound judgment and responsible risk management.
Report all risk events / incidents / issues using the defined process for your business area and help to understand why these happened and how to prevent them in future.
Proactively look for ways to improve the control environment by considering what could go wrong in the processes you operate and how errors could be prevented.
Continuous and proactive engagement with regulatory bodies, unions where applicable
All mandatory training completed to deadline All mandatory training completed to deadline.

Preferred Qualification
Bachelor’s degree in IT/CS, engineering, data science, business analytics or math focused fields is preferred.
Master’s Degree in related field an added advantage.
Preferred Experience
Minimum 8 years technical experience
At least 5 years’ experience in a leadership role
Experience in working within a large complex organization with multiple stakeholders

Knowledge and Skills
Lateral and strategic thinking
Relationship management
Leadership and people management
Experience in project management software especially technology-oriented project tools
Knowledge of technology project management tools such as JIRA, Planner, DevOps
Advanced Data infrastructure & Warehouse skills in Hadoop, SQL, AWS and Azure
Strong analytical, team dynamics and diagnostic skills

Behavioural Competencies
Problem-solving skills
Attention to detail
Curiosity and continuous learning
Strong analytical thinking
Effective communication skills
Time management and prioritization
Adaptability and flexibility
Intermediate
Technical Competencies
Visual Analytics – Ability to use visual intelligence tools such as PowerBI, Tableau, QlikView Power Query, IDEA to create business solutions
Query language proficiency – Knowledge of query languages such as SQL, Hive, Pig, and the ability to write efficient queries to extract, transform, and load data from relational and non-relational databases
Scripting and object-oriented programming skills – Proficiency in scripting languages such as Python, PhP, R, or Perl, and knowledge of object-oriented programming concepts.
Data Warehouse management -Proficiency in creating views, tables, procedures, dimensions and working with Kimball marts and tabular models to create reusable data artefacts in Warehouse
Streaming Data Analytics – Proficiency in working with streaming data from KAFKA, Hadoop, API to ingest, analyse and output data through API or into warehouses in support of data solutions
Structured and unstructured Data analysis – Proficiency in analyzing data from both structured and unstructured data sources through use of Warehouse artefacts or API and NLP to develop solutions for business
Agile Project management – Ability to manage projects and develop technology solutions in Agile way and using agile tools to monitor progress
Workflow data analysis – Ability to use workflow-based data tools such as Knime, Alteryx, SSIS for data blending, cleansing, analysis, creation of data pipelines and algorithms in support of business solutions
Cloud computing experience – Experience with Cloud offerings such as AWS, Azure, and GCP, and the ability to set up, manage, and optimize cloud-based data infrastructure and analytics solutions.
Big data engineering tools – Ability to work with Apache Spark, Hadoop, Impala, Hive, Hue,DataBricks to create and maintain warehouse and data pipelines

Absa Values
Absa’s Values and Behaviours represent the set of standards which governs the actions of all of us who work for the bank and against which the performance of every one of us in Absa are being assessed and rewarded:
Trust
Resourceful
Stewardship
Inclusive
Courage
Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)

Work Hours: 8

Experience in Months: 96

Level of Education: Bachelor Degree

Job application procedure

Interested candidates, please click here to apply

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