MI Analyst - 12-14 Months FTC Purpose of the Role Duties and Accountabilities Skills, Knowledge and Experience AEGIS Values

Under the guidance of the Data Analytics Manager, initially the holder will play an important role in delivering the Data Transformation project focussing on working with the IT team and Hexaware to deliver the new EDP. They will also help with the data analysis/visualisation components of the use cases to demonstrate value to the business. As the project reaches completion the focus will turn to working with the Data Scientists and Actuarial team to produce analytics and visualisations to help the underwriting teams improve profitability. A key relationship will be with the the IT team and Data Engineer to ensure that all requests from the business are considered/prioritised and run seamlessly from idea to delivery utilising the skills of each team. Under the guidance of the Data Analytics Manager, they will be responsible for defining the strategic data requirements for delivery of data consumption use cases. The holder of this role will comfortable interacting with all teams within the business to understand, capture, prioritise and document business and technical requirements leading to the deployment of automated, optimised and highly effective analytics solutions. The holder of this role will have strong data analysis and visualisation skills with additional working knowledge of data science and programming. This all round knowledge will be key to ensure effective communication and collaboration with the Data Science and Actuarial teams.,

• Helps the Data Analytics Manager to deliver:
a) Design, maintain and update the key information used at the point of sale for underwriters (ultimately the underwriting dashboard). b) Working with the IT team and Data Engineer to make any required changes to the semantic/curated layers or data marts. c) Working with IT to select the appropriate Artificial Intelligence tools to provide risk insight direct to the underwriter. d) Discussion of analytics and insights with business and supporting data awareness and analysis below the UEX. e) Design dashboards and visualisations bringing to life new analyses performed by the actuarial team and data scientists. f) Data Analytics support to back office functions for decision-making (e.g. exposure management, finance, HR, claims). g) Work with Data Scientists to research, identify, cleanse (in conjunction with the the IT team and Data Engineer), analyse, visualise and draw insights from external data sources. h) Work with the IT team and Data Engineer to educate business on what information is available to encourage self service and idea generation for future analyses (i.e. gathering requirements/use cases).
• Keep abreast of new and emerging data analysis/visualisation techniques and advances in technology.
• Helps the Data Analytics Manager to define strategic data requirements for delivery of data consumption use cases:
a) In short term work closely with the IT team and Data Engineer and outsourced software engineers to ensure successful delivery of data transformation programme. b) Collaborate with technical and non-technical stakeholders to identify, document, analyse, and prioritise data requirements. c) Translate business requirements into data analysis tasks. d) Create and refine stories and epics to be run as part of an Agile delivery framework. e) Create high-quality deliverables such as reporting specifications and visualisations. f) In future state work closely with data scientists and the IT team and Data Engineer to prioritise and deliver large analytics requests (requiring more than a specified number of days of effort). This includes business naming conventions and functional specifications., We make decisions considering the best interests of key stakeholders. We are direct and straightforward in our actions, working collaboratively to create a culture of fairness and respect. We act with integrity, valuing diversity of thought and background. We take time to listen to the needs of our customers, stakeholders and colleagues working together to seek and share information. We have a passion for success, aspiring to be recognised as best in class. We embrace new opportunities, encouraging innovation in pursuit of our goals. We strive to improve at all times, challenging complacency, being agile and adapting to change. We always seek to improve our customers' experience with us. We provide an environment where each employee can reach their personal potential. We encourage personal accountability for performance and individual ownership for growth and success.


• Expert in data analysis/visualisation techniques
• Programming skills (Python an advantage)
• Working knowledge of some data science techniques
• Demonstrable data analysis/visualisation experience preferably in a Lloyd's environment or similar
• Highly proficient in required IT packages
• Good organisation and planning
• Good written and face to face communication skills
• Experience using Agile methodologies and proven ability to take complex requirements and break them down into epics and technical user stories an advantage
• Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage
  
  As a business, we understand individual circumstances may differ and aim to be adaptable and to support flexible working practices. Talk to our recruitment team to understand how AEGIS London can help support you in reaching your full potential