Manager: Business Intelligence at Telesure Investment Holdings (TIH)

Job Purpose

• Supervise a team of analysts using data to extract quantifiable insights from past trends and current conditions that increases TIH's profitability and improve efficiency. Development and maintenance of predictive models to estimate the future claims costs. The primary role is to enable a team of analysts to turn data into knowledge to enable and improve key business processes.

Insights and Reporting

• Contribute to the design and creation of reporting templates. Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations. Work with the central data visualisation team to ensure all recurring business intelligence reporting is done from the central business intelligence infrastructure and is fit for purpose, up to date and correct. Ensure useful insights resulting from ad-hoc analysis are built into the central recurring business intelligence reporting infrastructure.

Stakeholder Engagement

• Develop stakeholder engagement through identifying stakeholders, finding out their needs/issues/concerns and reacting to these to support the communication of business information and decisions.

Data Collection & Analysis

• Use data from a wide range of sources to analyse key themes and identify
• possible impacts on the business. Continuously explore the business unit’s data and discover business intelligence (meaningful trends, anomalies, patterns and relationships within the data).

Data and Analytics Strategy

• Make recommendations to improve data and analytics systems and platforms,
• contributing to the continuous improvement and refinement of data and analytics strategy.

Performance Improvement through Business Intelligence

• Create basic algorithms and support creation of more complex algorithms that
• identify patterns in structured data. Partner with different business stakeholders and internal clients to ensure the collection of data in accordance with model standards. Use business intelligence to advise business unit executives and management where to improve their business management and efficiency. Oversee and takes responsibility for implementation (testing, issue resolution) of modifications to business unit systems and applicable central business intelligence infrastructure.

Analysis Requirements Identification

• Collect analysis requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to identify business
• intelligence, reporting and data analysis needs.

Project and Program Planning

• Set clearly defined objectives and plan activities and projects well in advance
• and takes account of possible changing circumstances. Manage time effectively and identify and organise resources needed to accomplish tasks. Monitor performance against deadlines and milestones.

Data Management

• Recommend data quality metrics, and ensure they are documented and tracked.

Performance Management

• Develop and propose own performance objectives; take appropriate actions to
• ensure achievement of agreed objectives, using the organisation's performance management systems to improve personal performance. Manage and report on team performance; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these, taking appropriate corrective action where necessary to ensure the achievement of team / personal objectives.

Building Capability

• Develop personal capabilities using existing formal and informal training
• opportunities, while also coaching others as required. Consult others and shares information and expertise with them and adapt to the team. Recruit staff of a high calibre and provide staff with development opportunities
• (coaching, mentoring, training etc.). Set appropriate standards of behaviour and build and support retention strategies.

Personal Capability Building

• Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.

Education

• Bachelor's degree in Informatics, Computer Science, Business Management, Statistics, Economics or similar (bachelor degree requirement might be waived with proven specialised training/certifications at University level statistics, programming, analytics and business management (i.e. via online MOOCs) (Essential)

Experience

• 4 or more years' of proven business intelligence analysis or related experience (Essential); Experience and knowledge of the financial insurance industry (Advantageous); Knowledge of multiple business functional areas (Advantageous). 2 or more years' experience of supervising and directing people and other resources to achieve specific end results within limited timeframes (Advantageous)