Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Analyst, Data, Insurance

City of London
5 months ago
Applications closed

Related Jobs

View all jobs

Excel Data Analyst - Residential Real Estate

Data Analyst

Group Business Systems Data Analyst

Data Analyst / Modeler

Data Analyst / Modeler

Data Analyst

Business Analyst is sought to join the growing data function of a buoyant insurance organisation based in the heart of the city. Within this role you will act as the key bridge between business stakeholders and technical teams - gathering and analysing business requirements, designing data-driven solutions, and supporting project delivery. You will contribute to improving data quality, aligning technical solutions with business objectives, and ensuring adherence to compliance and security standards.

This is a great opportunity to join a people-centric organisation with excellent opportunities for long term career progression.

Key Responsibilities:

  • Collaborate with business stakeholders to elicit, document and prioritise business requirements.

  • Work with technical teams to co-design scalable, efficient solutions leveraging cloud technologies (e.g., Azure, AWS) and data architectures such as data lakes and data mesh. Use data analysis to validate requirements and assist in creating visual representations such as wireframes and process models.

  • Participate in Agile delivery processes, including sprint planning and backlog refinement to ensure timely and impactful delivery.

  • Analyse data to uncover insights that inform strategies and drive operational efficiencies. Recommend process improvements based on data findings to enhance business value.

  • Facilitate workshops and meetings and translate technical concepts for non-technical stakeholders.

  • Support adherence to data governance, privacy, and security standards, collaborating with IT security teams to ensure data integrity and compliance.

    Key Skills & Experience:

  • Experience within a similar role working on data-driven projects.

  • Solid experience in business process mapping, data analysis and requirements gathering.

  • Proficiency in cloud platforms (Azure, AWS) and familiarity with data lakes and data mesh concepts.

  • Knowledge of Agile methodologies and tools like Jira or Confluence.

  • Strong documentation and communication skills for both technical and non-technical audiences.

  • Awareness of data governance, privacy, and regulatory standards (e.g., GDPR, Solvency II).

  • Experience in Agile environments with tools like Jira or Confluence.

    For a full consultation, send your CV to ARC IT Recruitment

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.