Data Analyst at Hollard Insurance

Role Objectives:

• Main purpose of the role is to support the delivery of Analytics and Data Science solutions within the Hollard Insure business. Overall objective is to drive substantial bottom line value by transforming the organisation’s key decision processes (e.g. sales, marketing, product design and pricing, fraud, underwriting, claims) by using insights, analytics, machine learning and AI.

Key Responsibilities:

• The incumbent will be responsible for Delivering on key business opportunities where improved insights and advanced analytics can drive bottom line value
• Working with stakeholders to identify the business requirements and the expected outcome
• Collaborating with subject matter experts to select the relevant sources of information for analysis, reporting and solution design
• Performing experimental design approaches to validate findings or test hypotheses
• Quantifying the accuracy of metrics for the analysis and presenting and depicting the rationale of the findings in easy to understand terms for business
• Supporting the design and delivery of the right infrastructure (databases, BI tools, modeling software) to support the analytics agenda
• Supporting data science solutions.
• This includes the use of Machine learning, Cloud technologies and API’s
• Maintain existing solutions and retrain models where required
• Migrate existing on prem solutions to the cloud
• Build required data structures and reports to track model usage and stability
• To work with business to help understand the value analytics and data science can play in their environments
• Key stakeholders
• The head of Analytics and senior data scientists
• The managers of the respective business functions
• The BI team

Required Knowledge and Experience    

• +/- 1-year related experience Strong analytical and problem solving skills
• Experience in analytics (big data, database mining, statistical, modelling and programming knowledge, test and learn) Experience in database analytical tools and statistical packages
• Experience in Python, SQL server, Powerbi, Excel, Powerpoint,
• Azure will be advantageous
• Strong communication skills (written and oral)
• Good project management and delivery skills
• Strategic thinker with strong operational and tactical experience, skills and knowledge
• Self-management skills (can organise work, space, time)

Educational Requirements    

• Matric
• Bsc (science, maths, statistics), Engineering, Computer Science, Data science specific degree Honours and Masters degrees preferred