Data Analyst

Data Analyst at Ardonagh Specialty

At Ardonagh Specialty, we offer more than just a workplace. We are dedicated to fostering skill development and knowledge within a team that is passionate about their work, values their employees, and truly celebrates diversity. As part of The Ardonagh Group, you'll join an innovative environment with many opportunities for growth across the wider group. We encourage movement between our united teams and empower you to make your role your own. Our offices are lively, but we also understand the need for flexibility, offering a genuinely flexible approach to working.

What We Can Offer

We provide an inclusive culture with apprenticeships, study support, participation in our annual Spotlight Awards, Community Trust, Sports Teams, office socials, events, and much more. You'll work with a supportive management team and some of the industry's top talent. Access wellbeing programs, fantastic discounts across big-name businesses including supermarkets, gym memberships, restaurants, and healthcare cash plans.

Further Perks Of Working With Us (Fixed Benefits)

• 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

Purpose Of The Role

To support the Broking business through the development of high-quality information resources, and the delivery and creation of presentations, whitepapers, and survey insights to suit both internal stakeholders and external audiences. This role assists revenue production, client relationships, new business opportunities, and drives business process innovation.

Key Role Accountabilities

• Awareness of the reporting deliverables required from business & operations leaders and their proactive & timely delivery.
• 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 create content that is fit for internal and external audiences, weaving a compelling story using design, content, and visualisation for 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 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.

Qualifications & Experience

• 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.

Person Specification

An enthusiastic Research and Data Analyst, able to understand complex data, and work closely with IT development resources and business-people. You will bring together different ideas and technology to help build successful IT solutions, exploit data, and present this in intuitive and appealing ways to derive benefits for all stakeholders. Experience in building successful relationships with senior business stakeholders and offshore delivery partners is key. Proactive with the 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 and acquire new skills. PowerBI and advanced Excel skills are essential.

Interview Process

• 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.

We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.

Key skills/competency

• Data Analysis
• Qlik (QlikView, QlikSense)
• PowerBI
• Data Modeling
• Insurance Sector
• Azure Data Factory
• Statistical Analysis
• Python/R
• Financial Reporting
• Agile Development