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 supports strategic decision-making,
operational efficiency, and a data-driven culture, while ensuring
strong data governance and quality standards.
Key Responsibilities
1. Business Intelligence & Analytics
- Partner
with stakeholders to translate business needs into analytics solutions
- Develop
and optimize BI tools for performance insights, trends, and risk analysis
- Define
and manage KPIs aligned with business strategy, including:
- Revenue
& profitability
- Customer
acquisition & retention
- Credit
portfolio performance
- Liquidity
& balance sheet metrics
- Conduct
deep-dive analyses to identify patterns and improvement opportunities
- Support
executive reporting, dashboards, and board-level insights
- Perform
root-cause and variance analysis
2. Data Engineering & Modelling
- Design
and maintain scalable data pipelines (ETL/ELT)
- Develop
and optimize data models (star/snowflake schemas)
- Ensure
data accuracy, consistency, and performance
- Collaborate
with IT and cloud teams on data architecture
3. Power BI & Data Visualization
- Build
interactive Power BI dashboards and reports
- Apply
best practices in data visualization and storytelling
- Implement:
- Advanced
DAX calculations
- Time
intelligence
- Data
modelling techniques
- Manage
datasets, refresh processes, and performance optimization
- Implement Row-Level
Security (RLS) and deployment pipelines
4. Data Governance & Quality
- Enforce
data governance standards and definitions
- Ensure
compliance with data privacy and regulatory requirements
- Implement
data quality checks and validation rules
- Maintain:
- Data
dictionaries
- Metadata
- Data
lineage
5. Collaboration & Enablement
- Act as
a trusted analytics advisor to business teams
- Train
users on BI tools and data interpretation
- Promote
best practices and continuous improvement in analytics
Qualifications
- Bachelor’s
degree in:
- Computer
Science
- Data
Science
- Statistics
- Information
Systems
- Engineering
- Economics
or related field
- Master’s
degree (advantageous)
Experience
- Minimum 4
years of technical experience
- Experience
in large, complex organizations with multiple
stakeholders
Technical Skills
- Business
Intelligence: KPI design, analytics frameworks
- Power
BI: Advanced DAX, Power Query, modelling, RLS
- Data
Engineering: SQL (advanced), ETL/ELT, pipelines, warehousing
- Databases: SQL
Server, PostgreSQL, Oracle, cloud platforms
- Data
Governance: Data quality, metadata, security, privacy
Behavioral Competencies
- Strong
problem-solving and analytical thinking
- High attention
to detail
- Curiosity
and continuous learning mindset
- Effective
communication (technical & non-technical)
- Strong
time management and prioritization
- Adaptability
in fast-paced environments
Core Values – Absa Group
- Trust
- Resourcefulness
- Stewardship
- Inclusiveness
- Courage
Education Requirement
- Further
Education and Training Certificate (FETC) in:
- Physical
Sciences
- Mathematics
- Computer
Sciences
Key Success Factors
- Ability
to translate data into actionable insights
- Strong
technical expertise in BI and data engineering
- Effective
stakeholder engagement
- Commitment
to data quality and governance
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