Data Analyst
Markerstudy Retail
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.