BI Team Lead (CPT)

at  BET Software

WE WANT YOU:

Are you a visionary leader with a passion for data and business intelligence? BET Software is searching for a dynamic Business Intelligence Team Lead to join our Cape Town team. In this role, you’ll guide a talented group of BI professionals, ensuring high-quality output and timely delivery of projects. Your leadership will not only drive the success of the team but also inspire growth and innovation. If you’re ready to lead by example, coach a skilled team, and make an impact in the world of data, we’d love to hear from you. Apply today.

• Contribute to complex and time-critical analysis projects for senior leaders, by developing a prioritised approach for resolution, and executing on a timely manner.
• Conduct sophisticated quantitative analyses and advanced modelling that translates data into actionable insights.
• Create, prioritise, assign and regularly follow up on tasks and the advancement of the team’s work with regards to deliverables.
• Represent the team; organise and lead team meetings.
• Draft regular reports for the Business Intelligence Manager on the advancement of the team’s work and recommend corrective measures whenever necessary to meet project objectives.
• Anticipate and recognise potential conflicts and recommend solutions to the Business Intelligence Manager for the team.
• Be a mentor in terms of technical aspects for team members (where necessary).
• Contribute to the technical architecture and development phases (where necessary).
• Take part in performance assessments in collaboration with the team and stakeholders.
• Coordinate bug correction as it pertains to the team’s work.
• Ensure that new employees integrate into the team.
• Streamline processes and create efficiencies in the way the various departments and team members in the division use applications, technology, and practices to collect, analyse, and present data across business functions; including operations, finance, pricing, and support. Proactively seek opportunities to improve data quality.
• Prepare ad hoc analysis and reporting as needed. Format data to identify needs, provide relevant insights, predictive analytics and make recommendations