Business Intelligence Analyst at Absa Bank

Business Intelligence Analyst Job Vacancy at Absa Bank Business Intelligence Analyst Absa Bank 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 BI Analytics & Insights Analyst is responsible for transforming raw data into actionable business insights through advanced analytics, data engineering, visualization, and predictive modelling. The role bridges business intelligence to support strategic decision making, operational efficiency, and data driven culture while ensuring strong data governance and quality standards. Job Description Key responsibilities and approximate time split: Business Intelligence & Analytics Partner with business stakeholders to understand analytical requirements and translate them into BI and advanced analytics solutions. Develop, maintain, and optimize BI solutions that provide insights into business performance, trends, and risks. Define and manage KPIs, metrics, and analytical frameworks aligned with business strategy. Perform deep dive analyses to identify patterns, root causes, and improvement opportunities. Design and maintain KPIs covering: Revenue & profitability o Customer acquisition & retention o Credit portfolio performance o Liquidity & balance sheet metrics Support management reporting, executive dashboards, and board‑level insights. Provide root‑cause and variance analysis for financial and operational performance. Data Engineering & Data Modelling Design, build, and maintain scalable data pipelines (ETL/ELT) from multiple source systems. Develop and optimize data models (star/snowflake schemas) for analytics and reporting. Ensure data accuracy, consistency, and performance across analytical datasets. Collaborate with IT and cloud teams on data architecture and platform optimization. Power BI & Data Visualization Design and deliver interactive, high‑performance Power BI dashboards and reports. Apply best practices in data visualization, UX/UI, and storytelling. Implement DAX calculations, measures, and time intelligence. Manage Power BI datasets, data refreshes, security (RLS), and deployment pipelines. Manage dataset refreshes, performance optimization, and Row‑Level Security (RLS). Data Governance & Quality Enforce data governance standards, definitions, and master data management. Ensure compliance with data privacy, security, and regulatory requirements. Implement data quality checks, validation rules, and documentation. Maintain data dictionaries, lineage, and metadata. Collaboration & Enablement Act as a trusted analytics advisor to business teams. Train and support users on BI tools, dashboards, and data interpretation. Contribute to analytics best practices, standards, and continuous improvement initiatives. Required Qualifications Bachelor’s degree in computer science, Actuarial Science, Data Science, Statistics, Information Systems, Engineering, Economics, or related field. Master’s degree is an added advantage. Preferred Experience Minimum 4 years technical experience Experience in working within a large complex organization with multiple stakeholders Knowledge and Skills Technical Skills Business Intelligence: KPI design, analytics frameworks, stakeholder engagement. Power BI: Advanced DAX, Power Query, data modelling, RLS, performance optimization. Data Engineering: SQL (advanced), ETL/ELT, data pipelines, data warehousing. Databases: SQL Server, PostgreSQL, Oracle, or cloud data platforms. Data Governance: Data quality, metadata management, privacy and security concepts. Behavioral Competency Competency definition/descriptor Level Problem-solving skills: Ability to identify and solve complex problems using analytical thinking and creativity- Intermediate Attention to detail: Ability to maintain accuracy and thoroughness in all tasks, from data collection to analysis and reporting-Intermediate Curiosity and continuous learning: Passion for learning and keeping up with the latest trends and developments in the field of data science-Intermediate Strong analytical thinking: Ability to approach problems in a logical and systematic manner, using data-driven insights to guide decision-making-Intermediate Effective communication skills: Ability to articulate complex ideas and findings in a clear and concise manner, both verbally and in writing. –Intermediate Time management and prioritization: Ability to manage multiple projects and deadlines, prioritize tasks effectively, and deliver high-quality work on time-Intermediate Adaptability and flexibility: Ability to adjust to changing priorities, work in a dynamic environment, and thrive in a fast-paced setting-Intermediate Absa Values Absa’s Values and Behaviors 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 Further Education and Training Certificate (FETC): Physical, Mathematical, Computer and Life Sciences (Required) How to Apply: CLICK HERE TO APPLY OTHER JOBS, TANZANIA JOBS, NGO's JOBS, NAFASI ZA AJIRA

• Partner with business stakeholders to understand analytical requirements and translate them into BI and advanced analytics solutions. • Develop, maintain, and optimize BI solutions that provide insights into business performance, trends, and risks. • Define and manage KPIs, metrics, and analytical frameworks aligned with business strategy. • Perform deep dive analyses to identify patterns, root causes, and improvement opportunities. • Design and maintain KPIs covering: • Revenue & profitability o Customer acquisition & retention o Credit portfolio performance o Liquidity & balance sheet metrics • Support management reporting, executive dashboards, and board‑level insights. • Provide root‑cause and variance analysis for financial and operational performance. • Design, build, and maintain scalable data pipelines (ETL/ELT) from multiple source systems. • Develop and optimize data models (star/snowflake schemas) for analytics and reporting. • Ensure data accuracy, consistency, and performance across analytical datasets. • Collaborate with IT and cloud teams on data architecture and platform optimization. • Design and deliver interactive, high‑performance Power BI dashboards and reports. • Apply best practices in data visualization, UX/UI, and storytelling. • Implement DAX calculations, measures, and time intelligence.