Business Intelligence Manager

The Business Intelligence Manager (BIM) is responsible for performing in-depth analysis of the Company’s business in order to highlight critical issues and draw possible conclusions as to their causes in order to assist executives in strategic planning and business improvement initiatives.

The role of BIM functions as the bridge between the Information Technology department and other departments in the company, including Underwriting, Claims, Customer Service and Registry departments.  The BIM should be well versed in insurance industry standards, policies, trends and news and remain cognizant of the changes and trends in the insurance industry and the impact of these changes on the daily activities of the departments supported and on the company.

JOB DUTIES AND RESPONSIBILITIES:

• Lead a team of analysts to gather, analyze, and interpret complex data sets.
• Develop and implement data-driven strategies and initiatives to drive business growth
• Oversee the development of in-depth analysis of General Accident’s portfolio in order to highlight critical issues.
• Oversee the design and maintenance of data infrastructure, ensuring data accuracy and accessibility.
• Monitors loss ratios of brokers to highlight critical issues namely high claim pay-out trends and their possible causes.
• Highlights trends in policy cancellations with respect to Intermediary, Source, Policy Prefix and Biographic Data in order to draw possible conclusions about and means of reducing the number of policies cancelled.
• Determines the factors affecting renewal of policies as it relates to Intermediary, Policy Prefix, Biographic data and how these factors affect the delay in renewal if it occurs.
• Reports who new policy holders are and what they require of General Accident. This will be used as a guide to attract more policy holders in future.
• Defines the risk exposure of General Accident’s Motor and Non-Motor Portfolios at specific points in time. Data from the latter is used to reinforce re-insurance agreements and are sent to re-insurers from time to time.
• Responsible for providing reports having defined periodicity (Weekly, Monthly, Quarterly, Bi-Annually and Annually) inclusive of Ad-hoc reports.
• Responsible for Insurance Risk Management recommendations through in-depth analysis of data using statistical methods and tools based on data mining techniques. 
• Segments receivables accounts and unallocated funds by broker and age category to determine all outstanding funds owed to the Company and how efficient we are at allocating these funds to their respective policy holders.
• Identify intelligence needs of each department through one-to-one communications of key employees
• Preparation of statistical data reports in line with stated deadlines (IAJ Motor stats, claims reports, premium reports)
• Preparation of accurate reinsurance reporting

 Decision Making

The Business Intelligence Manager will be expected to define reports on all areas of the Company’s business and ensure they are created on a timely and regular basis and with the correct information. Objective analyses provided will enable effective business decisions that are taken by executives. 

Problem Solving

The Business Intelligence Manager will frequently be asked to provide information services to executives regarding all areas of the Company’s business and interests. It will be the responsibility of the analyst to source and manipulate raw data from the Company’s database as well as other sources and will involve considerable skill in data management, consolidation, summarizing, validation, look-ups and reference, Macros, graphs and charts.

Performance Criteria

• Provide information to be used by business leaders in a timely manner.
• Present business leaders with information that provides insight on the effectiveness of business segment performance. 
• Extract information in a format that provides varying perspective on the information requests. 
• Provide detailed recommendations based on analysis of data and specific criteria, taking into account industry practices and standards.
• Provide accurate and concise data at all times. Increase the level of information presented on claims management, underwriting activities, industry analyses and customer behaviour.

REQUIRED SKILLS/EDUCATION

JOB SPECIFICATION:                                   

Qualification and Experience Required

• BSc in Statistics, Actuarial Science or Information Technology
• Complete Introduction to Insurance Course (3 Months)
• Data analysis experience, e.g. interpreting business requirements, data analysis, data mapping, aggregations, transformations and data lineage.
• Experience in regulation-driven or business process change.
• Will have worked as part of teams and have communicated and facilitated between business and technology stakeholders.
• Experience in solving data-related issues and providing technical recommendations.
• Experience in identifying data trends and formulating comparative analysis.
• Working in a business environment but with close engagement with technical stakeholders.
• Working in an environment where needs and requirements are evolving and changing.
• Minimum of three (3) years work experience in a similar capacity.
• Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and statistical analysis.
• Effective application of analytical techniques, including trend analysis, forecasting, and experiment design

Specific Skills or Competencies Required

• Excellent communication skills to respond effectively to the data needs of the Company’s executives.
• Leadership skills with the ability to mentor and guide a team.
• Thorough proficiency in Excel and the other Microsoft Office Programs.
• Advanced problem solving and analytical skills to tackle problems of a highly technical nature.
• An adept understanding of mathematics with a high appreciation for statistical data.
• High level of understanding of Insurance, Reinsurance, Treaties and market dynamics of the insurance industry.

SPECIALISED TECHNIQUES/KNOWLEDGE

• Sets high performance for oneself with an eye for detail.
• Has the ability to multitask and work under pressure and is willing to work overtime quite frequently.
• Is creative in generating innovative reporting solutions by approaching problems with curiosity and open-mindedness while using existing information to its fullest potential.
• Is self-motivated and result oriented, with an eye for accuracy and presentation.
• Integrity and confidentiality.