Data Business Analyst

Data Business Analyst (Analytics and Insights)

We’re looking for an experienced Data Business Analyst who thrives at the intersection of business, data and technology. This isn’t a traditional business analyst role. You’ll work closely with business stakeholders and Analytics Engineers to transform business challenges into trusted data products, actionable insights and measurable business outcomes.

George, Western Cape (On-site | Hybrid negotiable)

Permanent

• Facilitate workshops to understand business challenges, opportunities and reporting needs.
• Gather, analyse and document business requirements, business rules and functional specifications.
• Define enterprise KPIs, metrics and business logic for implementation within modern data platforms.
• Work closely with analytics engineers to ensure business requirements are accurately translated into data models.
• Analyse data to identify trends, risks, opportunities and operational improvements.
• Build and contribute to dashboards, reports and analytical solutions that support business decision‑making.
• Validate data quality, business logic and reporting outputs.
• Maintain consistent business definitions, data standards and governance practices.
• Present insights and recommendations that influence strategic and operational decisions.
• Identify opportunities to improve business performance through automation, AI and data‑driven decision making.

• At least 5 years’ experience as a business analyst within a data, analytics, systems or technology environment.
• Strong stakeholder management and workshop facilitation skills.
• Experience defining business rules, KPIs and reporting requirements.
• Strong SQL skills for data investigation and validation.
• Experience working with business intelligence tools such as Qlik, Power BI or Looker.
• Excellent analytical thinking, problem‑solving and communication skills.
• Experience working within Agile delivery environments.
• Knowledge of data governance principles and regulatory requirements.
• Confidence using AI tools to improve productivity and decision‑making.

• Experience with dbt or semantic layer concepts.
• Snowflake or other cloud data platforms.
• Python for data analysis.
• Git or version control tools.
• Insurance or financial services experience.
• Exposure to AI‑enabled analytics or automation initiatives.

• Bachelor’s degree in business analytics, information systems, computer science, data science, statistics, commerce or a related field.
• A recognised business analysis certification (IIBA CBAP/CCBA, BCS business analysis or equivalent) would be advantageous.
• Microsoft Power BI data analyst associate, SQL certification or other relevant analytics certifications would be beneficial.
• Agile or Scrum certification would be advantageous.

• Takes ownership and enjoys solving complex business problems.
• Is naturally curious and enjoys asking “why?”
• Thinks commercially and understands how data creates business value.
• Can translate technical concepts into language business stakeholders understand.
• Builds strong relationships across all levels of an organisation.
• Enjoys working in collaborative, fast‑paced environments.
• Is passionate about analytics, emerging technologies and continuous learning.

We’re not building another reporting team—we’re building a modern data organisation where business knowledge, analytics, engineering and AI come together to solve meaningful business problems.

If you’re looking for more than a traditional business analyst role and want to shape the future of data, analytics and AI, we’d love to hear from you. Apply today and help us build smarter businesses through better data.