Data Analyst
Role details
Job location
Tech stack
Job description
To support the Broking business through the development of high-quality information resources, and the delivery and the creation of presentations/whitepapers/survey insights to suit both internal stakeholders and external audiences.
Assist revenue production, client relationships, new business opportunities and drive business process innovation.
Key Role Accountabilities:
Awareness of the reporting deliverables required from the business & operations leaders and the proactive & timely delivery of such
Understand the data contained within the PAS, its use by the business and the end-to-end data journey and capture
Identify deficiencies in source data and assist with resolution
Liaison with clients, underwriters and Brokers
Ability to build and crate content that that is fit for internal and external audiences. Ability to weave a compelling story using design, content and visualisation towards the creation of RFPs, proposals and Client presentations.
Data Engineering to ingest, cleanse and collate data - ability to work with large amounts of data in an agile manner,
Creation of reports and analytics
Presentation of the reports to support business development
Work with finance and MI on annual budgeting
Working on backlog of specified work as part of an agile delivery team, At Ardonagh Specialty, we have a straightforward interview process to ensure the best fit for both you and the company:
- Submit your application with your CV, emphasising your skills and experience related to the job.
- Our Talent Acquisition team will then arrange a call where they can tell you more about the role and the team. We want to learn about your motivation and goals, what you can bring to Ardonagh Specialty, and answer any immediate questions.
- If successful, you will generally be invited to engage in a 1-hour interview with the Hiring Manager and selected team members, via teams or in person. We will discuss our technologies, key skills, and team dynamics and provide further opportunity to ask any questions. This is your chance to voice your thoughts on the role and we will outline our expectations and ensure this role aligns with your ambitions for the future.
- Depending on the role, you may be invited to attend a second stage interview with further members of the team.
If successful or unsuccessful, we always try and move quickly in presenting an offer or providing feedback.
We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.
Requirements
Do you have experience in Statistical analysis?, Educated to degree level in a relevant field or equivalent experience
At least 2 years of experience as a Data Analyst
Experience in insights and content creation.
Experience working in the Insurance Sector in a data-oriented role is essential, preferably with London Market Broking exposure.
Skills:
Ability to understand data and translate this into meaningful business insights, reports and visualisations
Qlik developer skills (QlikView. QlikSense)
PowerBI
PowerBI Report Builder / Reporting Services
Building Data maps
Data modelling
Experience of software development lifecycle, working as a part of a team
Azure Data Factory
Insurance Sector domain knowledge
Analysis Services
Financial Reporting
Exposure to Agile development DevOps including automation of build and release
Experience on cloud tech (preferably Azure)
Experience within London Market Insurance & Reinsurance environment
Experience in statistical analysis or Data Science
Python or R coding skills, An enthusiastic Research and Data Analyst, able to understand complex data, able to work closely with IT development resources and business-people. Able to bring together different ideas and technology to help build successful IT solutions. Able to exploit data and to present this in intuitive and appealing ways to derive benefits for all stakeholders. Experience of building successful relationships with senior business stakeholders, offshore delivery partners. Proactive & ability to plan and manage multiple priorities Good knowledge of IT architecture and software development lifecycles. Hands-on development skills in data related and reporting technologies, plus the ability to adapt an acquire new skills. PowerBI and advanced excel skills are essential.
Benefits & conditions
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work life balance - flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
Key Internal Relationships:
Business leaders and C-Suite Executive
Ardonagh Portfolio Solutions (APS)
Finance Department
Marketing and Comms Department
Operational Management
MI team
Broking teams
Data visualisation
Data Engineering and Analytics teams
Compliance reporting
Key External Relationships:
Provide reporting and analytical content to internal Operations, Clients and Underwriters