National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst - Insurance

Next Employment Ltd
London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

DATA ANALYST - LONDON (HYBRID) - SQL, AWS, £60k

Junior Data Analyst

Analyst, Data Science in Agencies

Data Science CRM & Specials Data Analyst

Data Science CRM & Specials Data Analyst

Data Analyst


A great role for a Data Analyst to join an International Insurance firm based int eh City of London in their Internal Audit team.


The Internal Audit teams are responsible for delivering comprehensive evaluations of risk management, control, and governance processes within the insurance industry. The company focus on ensuring compliance with regulations and company policies, while identifying operational inefficiencies and recommending strategic improvements.


This role is ideal for an energetic individual who is passionate about technology, analytics, digital innovation, and is also dedicated to providing support to a global department.


THE ROLE

The primary responsibility of this role is to provide technical support for Internal Audit workflow and management tools, along with delivering data analytics reporting. Specific responsibilities include:

Support of Internal Audit Tools and Applications:

  • Provide technical support for key applications such as TeamMate, SharePoint, Shared Drives, Asana, Grammarly, Articulate, and Tempus.
  • Manage ongoing enhancements and the rollout of audit tools and applications.
  • Oversee access management, including recertifications and verification processes.
  • Deliver technical support for the annual and quarterly Audit Risk Assessment and Audit Plan processes.
  • Conduct research and deployment of new tools.
  • Participate in disaster recovery testing to ensure system resilience.


Data Analytics Responsibilities:

  • Execute analytics and reporting projects, under supervision, including requirements gathering, development, validation, and interpretation of results.
  • Collaborate with auditors and other stakeholders to identify new opportunities for analytics and visualizations, specifically those that would benefit from being developed into automated and repeatable solutions.
  • Communication with Data Analytics team members and their managers to ensure alignment and support.
  • Develop and expand Data Analytics capabilities and skills.


What you’ll bring:

  • Proficiency in TeamMate or a similar audit workpaper tool.
  • Demonstrated skills with data analytics tools and techniques, such as SQL Server, Alteryx, Python, among others.
  • Experience in data visualization using Power BI or comparable technologies.
  • Strong written and verbal communication skills.
  • Strong attention to detail and strong analytical skills.
  • Ability to independently initiate and manage projects with minimal supervision.
  • Proficiency in additional languages is advantageous but not required.
  • A minimum of a bachelor's degree in Data Science, Computer Science, Information Technology, Information Systems, Statistics, Applied Mathematics, or a related field.
  • A minimum of 2-8 years of relevant experience in data analysis or a technical domain.
National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.