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

Apply Now

Data Analyst

Southampton
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

The Data Analyst will play a vital role in shaping and implementing strategic initiatives within the insurance department of this organisation. This permanent position is based in Southampton and requires a detail-oriented individual with a strong analytical mindset and problem-solving skills. must have experience in SQL.

Client Details

This opportunity is with a reputable organisation within the financial services industry. The company operates as a medium-sized entity and is known for its focus on delivering innovative solutions within the insurance sector.

Description

The key responsibilities for the Data Analyst role:

Develop and implement operational strategies to improve efficiency within the insurance department.
Analyse data and performance metrics to identify trends and make informed recommendations.
Collaborate with cross-functional teams to align operational goals with overall business objectives.
Monitor and evaluate the effectiveness of implemented strategies and suggest improvements.
Support the preparation of detailed reports and presentations for senior management.
Ensure compliance with industry regulations and standards within the insurance sector.
Provide insights to improve customer experience and streamline processes in Southampton.
Assist in the development of tools and frameworks to enhance operational decision-making.Profile

A successful Data Analyst should have:

A strong analytical background with proven problem-solving skills.
Experience in financial services, particularly within the insurance sector, is beneficial.
Proficiency in data analysis tools and software. (SQL IS A MUST)
An ability to communicate effectively with stakeholders at all levels.
A detail-oriented approach and the ability to work independently.
Knowledge of industry regulations and best practices.
A commitment to delivering high-quality results in a fast-paced environment.Job Offer

A competitive salary.
Permanent position
Opportunities for professional growth within the industry.
Engagement in meaningful work within the insurance department.
Supportive and professional company culture.This is an excellent opportunity for an Data Analyst to contribute to impactful projects in Southampton. If you are ready to take the next step in your career within the financial services industry, we encourage you to apply today

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.