Senior Consultant - Central Analytics at Hollard Insurance

Experience:

• 5+ years relevant analytics experience in a consulting or corporate environment

Skills:

• Whilst the role is largely a consulting and business facing role, the candidate needs a strong technical background and demonstrated ability to solve business problems using data and associated analytical toolsets.
• Programming knowledge (Python strongly preferred) and an understanding of database analytical tools (particularly SQL and Power BI) is required.

Knowledge:

• Strong business acumen combined with strong analytical and problem-solving skills. Ability to identify opportunities to enhance business performance.
• Ability to identify and apply relevant statistical techniques to different problems. Ability to mathematically and strategically interpret modelling results.
• Ability to organise and manage multiple tasks and strong ability to deliver results on time.
• Ability to work autonomously and in teams.
• Good communication (written, oral) and interpersonal skills. Ability to communicate effectively with non-analytical stakeholders.

Key Responsibilities: 

• Relationship building across all Business Units for the identification and delivery of appropriate analytics solutions that drive both bottom line value and regulatory compliance.
• Driving a test & learn agenda for the business by structuring tests, analysing results and feeding insights, learnings and recommendations back to business.
• Modelling complex business problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Scoping, designing, developing and implementing analytical tools and solutions for the business with the support of the other Central Data, Analytics & Data Science team members. 
• Drive the adoption and business change management for action and delivery of strong results from the developed insights and solutions.
• Driving personal and team development. 

Educational Requirements:    

• BSc or MSc in Engineering, Computer Science, Informatics, Software/Computer Engineering, Mathematics, Statistics, Physics or similar.