Business Intelligence Specialist

Job Summary:

• Help business unit heads answer complex business questions by investigating, analysing and modelling internal and external data sources.
• Identify opportunities to streamline and improve operational processes with the aim of improving efficiencies, increasing profitability or accelerating growth.
• Identify opportunities to improve processes and strategies with technology solutions.

To be successful in this role, you must be able to:

• Conduct complex statistical analyses, including hypothesis testing, regression analysis, and time series forecasting, to derive actionable insights.
• Develop and maintain sophisticated data models that accurately represent business processes and support complex analytical queries.
• Apply machine learning techniques (e.g., supervised, unsupervised, and deep learning) to build predictive models and automate data-driven processes.
• Analyse and translate business needs into technical specifications for BI solutions.
• Develop and maintain financial forecasting models using statistical and time series analysis techniques.
• Analyse historical data, identify trends, and predict future financial performance.
• Update and maintain reports and dashboards.
• Create visualisations and reports to monitor data.
• Creating and maintaining documentation detailing the design, requirements, process flows and, where applicable, user manuals for business implementation.
• Develop and execute database queries and conduct analyses.
• Perform ad hoc analysis, insight requests, and data extractions to resolve critical business issues and/or share business improvements through insights developed by analytics.

Professional Skills

• Communicate proactively, effectively and efficiently with stakeholders and develop close working relationships with stakeholders to understand their needs.
• Efficient and effective reporting on prioritisation and tasks to the Line Manager.
• Take personal ownership of projects and work quality, as well as contributing to the team.
• Participate in wider discussions and initiatives within the team, offering solutions to problems, focusing on the efficacy of analytical outcomes

Minimum Education:

• Bachelor's degree in one of the following fields: Actuarial Science, Business Mathematics, Applied Mathematics, Financial Mathematics, Statistics or a related field.
• A post-graduate degree in any of these fields would be favourable.

Minimum experience (years):

• 5 years in a technical role with experience in data modelling.

Required nature of experience:

• Proficiency in programming languages like Python, R, or SQL, with a strong understanding of data structures and algorithms.
• Experience with BI tools such as Tableau, Power BI, or Looker.
• Advanced knowledge of Microsoft Excel (macros, pivot tables, formulas)
• Strong analytical, troubleshooting skills and root-cause analysis ability.
• Proven abilities to take initiative and be innovative.
• Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS).
• Ability to interpret code and support applications, reports and processes

• Market-related Salary
• Life Insurance
• Provident Fund
• Funeral Cover