Requisition Details & Talent Acquisition Contact

Requisition nr: 147567
Talent Acquisition Specialist: Tshego Semenya
Location: 135 Rivonia Road, Sandown
Closing date: 7 September 2026

Cluster

Personal and Private Banking

Career Stream

Leadership Pipeline

Position

BI Data Analyst

Why join our team!

Step into a strategic role where your expertise in Power BI and data storytelling will directly influence business decisions across finance, product, and segment teams. As an analytical champion, you’ll lead the development of tabular models, impactful dashboards, promote their adoption, and empower others through coaching and knowledge sharing. You’ll work with prepared data, which will allow you to focus on creating fit for purpose tabular models, dashboard design, impactful insight generation and stakeholder engagement. This role offers high visibility, leadership support, and the chance to shape how data is communicated across the organisation. If you're passionate about turning data into action and driving innovation, this is your opportunity to lead in a collaborative, forward-thinking environment.

Job Purpose

To create and maintain tabular models, provide business intelligence analysis, and create interactive, dynamic visualizations that effectively communicate complex data insights to stakeholders. The role requires a strong foundation in UI/UX design, storytelling, and data analysis to identify trends, patterns, and actionable insights. The successful candidate will champion Power BI adoption, lead dashboard development, and have a good grasp of building tabular models housed on Microsoft SQL Server Analysis Services.

Job Responsibilities

• Data Management: Structure data into compliance standards by adhering to metadata governance procedures according to documented standards and formats.
• Data Visualization: Design and develop interactive data visualizations using tools like Tableau, Power BI, or similar technologies.
• Consulting: Provide data and information consulting services to business units.
• Vendor Management: Manage interactions with vendors according to guidelines.
• Process Improvement: Continuously improve processes and identify innovation opportunities.
• Risk Management: Identify and mitigate risks within governance frameworks.
• Incident Resolution: Log and track incidents through appropriate channels.
• Legislation Awareness: Stay updated on relevant legislation and industry changes.
• Personal Development: Engage in training and career progression activities.
• Stakeholder Communication: Ensure accurate information sharing with stakeholders
• Cultural Contribution: Participate in initiatives to build a conducive culture and support corporate social responsibility.
• Collaboration: Work with cross-functional teams to understand business requirements and develop visualization solutions.
• Design Consistency: Develop and maintain a consistent design language across all visualizations.
• Data Analysis: Analyze data to identify trends, patterns, and insights.
• Industry Trends: Stay up to date with industry trends and emerging technologies in data visualization.

Essential Qualifications - NQF Level

Preferred Qualification

• Bachelor’s degree (in Engineering or Data Science) or Certified Data Analyst

Minimum Experience Level

• 5+ years of experience in data visualisation or a related field
• Strong portfolio showcasing interactive and dynamic visualizations
• Proficiency in data visualisations tools like Tableau, Power BI or similar technologies
• SQL Fundamentals: Understanding of SQL Syntax , data types and query structures
• Strong understanding of data analysis and statistical concepts
• Excellent communication and storytelling skills

Nice to Have

• Knowledge of programming languages like Python, R , Java, or SQL
• Knowledge of ibi Web Focus Designer
• Familiarity with Agile development methodologies
• Certification in data visualisations or related field
• Familiarity with cloud platforms such as Microsoft azure

Technical / Professional Knowledge

• Data profiling - intermediate
• Data Visualisation
• Data Governance and Compliance
• Data Pipelines and ETL tools (Ab Initio, SSIS, T-SQL etc)
• Databases (MS SQL, PostgreSQL, Atomic Warehouse, NetezzaHH, Denodo etc)
• Programming (e.g., Python, R)

Disclaimer

Preference will be given to candidates from the underrepresented groups

Please contact the Nedbank Recruiting Team at +27 860 555 566