The role will involve the day-to-day analysis and production of insightful management information in line with developments in the insurance industry. The role will also be responsible for providing advice on and implementing day-to-day tactical and strategic reports designed to enable the company to achieve our strategic objectives.

The main responsibilities of the role will be:

Researching, developing, implementing, and integrating new reporting systems and applications which better position the company to achieve its strategic goals.
Developing and presenting intranet-based MI dashboards for relevant stakeholders throughout the business.
Utilizing data-warehouse capabilities to interrogate data and develop new data solutions.
Assisting in the development, testing and implementation of new ETL procedures
Assist in the development and presentation of insights to management using business information on a day-to-day, tactical, and strategic basis.
Assisting in the development of predictive models, maintenance & testing of existing models
Using predictive models & technical information to make recommendations to senior management for business improvement
Assessment of processes to provide insight into automation & improvement
Liaising and working with teams from around the business to create solutions to a common problem
Other duties as assigned

PERSON SPECIFICATION

Qualifications

Degree level or equivalent qualification in Maths, Statistics, Physics, Actuarial Science, or another subject with similar high mathematical content
OR 3 years relevant experience in similar industry role

Essential Experience

Experience of working with data analytics for example, data modelling, big data, data visualisation, stochastic analysis, data warehousing
Proficiency in MS Office products (Word, Excel, PowerPoint, Outlook)
Experience of using programming languages e.g., SQL, VB, R, SAS

Desired Experience

Experience of working with data analytical tools for example: Matlab, R , Python
Experience working with SSMS, SSRS, SSIS, SSAS
Experience of working collaboratively within a team to achieve a specific result.
Experience of communication of technical subjects to a non-technical audience
Knowledge of analytical methodologies e.g., regression modelling
Knowledge of business processes or insurance

Skills, abilities, and competencies

Strong numerical and analytical skills.
Ability to apply analytical problem solving, make recommendations, and implement improvements.
Makes effective use of technology to drive and improve processes.
High attention to detail and accuracy.
Strong interpersonal skills and ability to work within a team.
Communicates information clearly and concisely to both technical and non-technical team members.
The ability to promote ideas/solutions with confidence, credibility, and sound business rationale.
Ability to report on large datasets & make reasonable recommendations based on trends in data
Demonstrable planning and organisational skills.
Team worker, with responsibility & accountability for their own work
Focuses energy on priorities aligned to business goals.
Delivers on commitments to others.
Absolute passion for learning & continuous improvement
Ability to work in a fast-paced environment, multitasking etc.