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

Apply Now

Careers Plus | Data Analyst

Careers Plus
Liverpool
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Governance and Data Analyst Lead

Data Analyst

Data Analyst - Reigate

Year in Industry- Data Scientist - Aldermaston

Senior Staff Machine Learning Scientist, Operations

Job Title:SQL Data Analyst

Location:Newcastle

Salary: £45,000


Are you passionate about uncovering insights hidden in data? Do you thrive in a fast-paced environment where your analytical skills make a real difference? We’re looking for a talented SQL Data Analyst to join our team and help us leverage data to drive smarter business decisions.


Key Responsibilities:

  • Data Analysis & Reporting:Use SQL to design, develop, and optimize queries to analyze complex datasets and deliver actionable insights.
  • Database Management:Maintain and enhance data integrity within relational databases, ensuring accuracy and consistency across all systems.
  • Data Visualization:Develop dashboards and visual reports using tools such as Tableau, Power BI, or similar platforms to communicate findings effectively.
  • Stakeholder Collaboration:Work closely with cross-functional teams to understand data requirements, provide insights, and support decision-making.
  • Performance Optimization:Identify trends, patterns, and anomalies in data to recommend solutions that improve business processes and outcomes.


What We’re Looking For:

  • Technical Skills:Proficiency in SQL and working knowledge of relational database management systems (e.g., MySQL, PostgreSQL, or SQL Server). Experience with ETL processes is a plus.
  • Analytical Mindset:Strong ability to analyze data, identify trends, and translate findings into actionable business recommendations.
  • Visualization Expertise:Hands-on experience with tools like Tableau, Power BI, or similar for building dynamic dashboards and reports.
  • Communication:Excellent ability to communicate complex data insights to both technical and non-technical stakeholders.
  • Bonus Skills:Familiarity with Python, R, or similar programming languages for data analysis is advantageous.


If this role sounds like something you are interested in then please apply!

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.

Jobs

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.

Jobs

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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.