Business Analyst, Data, Insurance

City of London
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Senior Business Analyst, Data

Data Business Analyst - Risk Rating & Pricing

Business Analyst - Senior Consultant

Business Analyst - Assistant Manager

Business Data Analyst

Technical Business Analyst - Senior Consultant

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.