Insurance Data MI Analyst

Data/MI Analyst

Up to 38k

Location: Suffolk

A very successful and fast growing Client in the Insurance industry is seeking a Data Analyst for a key Department which focuses on delivering high quality Management Information (MI) service to the Business.

This is a really great opportunity to work closely with the Business and other talented people, to make a real difference and to be in a team where your contribution will be valued.

Their success is driven by delivering excellent products and is achieved by providing accurate reports and performance monitoring which helps deliver enhanced Business decision making.

You'll be able to work on a hybrid basis, spending time working at home and in the office.

Your main responsibilities as Senior Data Analyst will include:

• Supporting business needs by helping analyse activity data, investigating trends and making recommendations
• Building and reviewing data models
• Applying tools and techniques for data analysis and data visualisation (including the use of business information tools)
• Identifying, collecting, and migrating data to and from a range of systems
• Carrying on data quality assessments, identifying gaps and performing remediation actions
• Summarising and presenting data and conclusions in the most appropriate format for users
• Building and maintaining the appropriate reports and creating data dashboards, graphs, and visualisations for varying audiences within the business
• Refining, updating, and timely distributing existing reports, ensuring they remain accurate and are fit-for-purpose as the business evolves
• Training end-users about new reports and dashboards
• Maintaining awareness of technology changes within the BI industry

To be successful in this Senior Data Analyst role you will demonstrate:

• Experience of Power BI, Excel including VBA, and MS SQL
• Knowledge of data modelling, cleansing and standardisation
• Good problem-solving skills and critical thinking ability

• Ability to interpret requirements, presenting data in a clear and compelling way
• Accuracy and high attention to detail with high level focus on quality
• Capability to interact with people at all levels