BI Team Lead

Bellville, South Africa Posted on 22/05/2026

Location: Cape Town Work Type: Hybrid Job ID: J107188

Our client, a reputable financial services firm listed on the Johannesburg Stock Exchange (JSE), holds a strong belief in the transformative power of incremental progress. They are committed to empowering individuals and businesses alike, offering tailored solutions and expert guidance to help pave the way to success. With a focus on innovation and excellence, they provide secure financial futures through personalised advice and cutting-edge products. Their mission is to support diverse goals and aspirations, enriching lives across every journey.

• Lead, mentor, and manage BI Analysts and Developers, fostering technical excellence and collaboration.
• Manage team capacity, workload, and project timelines to ensure timely delivery of BI initiatives.
• Conduct performance reviews, one-on-ones, and career development discussions with team members.
• Oversee the design, development, and maintenance of BI reports, dashboards, and analytical tools.
• Define and enforce best practices for data visualisation, dashboard design, and ensure data product quality and accuracy.
• Lead data modelling efforts (semantic layer) and align technical strategies with other engineering leads.
• Partner with stakeholders to translate business requirements into technical specifications and robust analytical solutions.
• Drive the organization-wide adoption of self-service BI and clearly communicate data insights to non-technical audiences.

• 5+ years in BI/Data Analysis, including experience in leadership/senior/mentoring roles.
• Excellent written and verbal communication, able to articulate technical concepts to non-technical stakeholders.
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
• Proficiency in leading BI tools (e.g., Looker, Tableau, Power BI) and expert SQL skills with complex datasets.
• Strong understanding of dimensional modelling (Kimball) and data warehouse concepts, plus experience with semantic layers and calculated metrics.
• Passion for using data to drive business decisions, with basic proficiency in a scripting language (e.g., Python).