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

Apply Now

Data Analyst

Christchurch
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Your new company
A dynamic and well-established company is looking for a Data Analyst to join them to support them with all their data and reporting needs. The organisation is involved in various aspects of property management, as well as estate management - it really is a fascinating organisation and such a great opportunity.

Your new role
As a Data Analyst, you will play a crucial role in analysing complex datasets to extract actionable insights. You will collaborate with cross-functional teams to understand their data needs and provide analytical support. Your responsibilities will include data collection, cleaning, and analysis, as well as creating visualisations and reports to communicate findings effectively. You will also contribute to the development of data-driven strategies and help optimise business processes.

What you'll need to succeed

Strong analytical skills: Proficiency in data analysis tools and techniques.
Technical expertise: Experience with Power BI, SQL, Python, R, or other programming languages.
Attention to detail: Ability to work with large datasets and ensure data accuracy.
Communication skills: Excellent ability to present complex information in a clear and concise manner.
Problem-solving mindset: Ability to think critically and provide innovative solutions.
Team player: Collaborative approach and ability to work effectively in a team environment.
What you'll get in return

Competitive salary: Attractive compensation package.
Professional development: Opportunities for continuous learning and growth.
Flexible working: Options for hybrid working.
Inclusive culture: A supportive and inclusive work environment that values diversity.
Impactful work: The chance to make a significant impact on the company's success and growth.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.