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

Apply Now

Data Analyst / Business Intelligence Analyst

Toyota Material Handling
Leicester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst, Business Intelligence Data Analyst

Data Analyst & Business Intelligence Officer

HR Data Analyst

Data Analyst

DataBricks Data Engineer - Financial Services

DataBricks Data Engineer - Financial Services

General information Reference 2024-4068 Publication date 15/10/2024 Category Active Jobs - Sales and Sales Support Job title Data Analyst / Business Intelligence Analyst Job description We are looking for a Data Analyst / BI Analyst with expertise in SQL, Snowflake, and Power BI to join our data team . This position is can be based in either of our business centres in Leicester or Castleford. About the role The role involves analysing data from our systems, extracting information from data sets and identifying correlations and patterns. On a day-to-day basis your activities will be; Design, Develop and maintain SQL views & queries to extract, transform, and analyse data from various sources. Manage and optimize data warehouses in Snowflake, ensuring high performance and scalability. Create interactive and insightful dashboards and reports using Power BI. Collaborate with business teams to gather requirements and translate them into technical solutions. Implement best practices for data governance, security, and accuracy. Troubleshoot and resolve issues related to data integrity, reporting, and performance. Continuously improve ETL processes and ensure efficient data workflows. Your Profile We are looking for someone with experience in data / statistical analysis, accounting or a planning role. Here is a quick tick list of the skills we are looking for: Microsoft SQL Server: Strong experience in writing, optimizing, and troubleshooting complex queries. Snowflake: Hands-on experience managing data warehouses, optimizing storage and query performance. Power BI: Proven ability to build reports, dashboards, and visualizations to convey meaningful insights. Strong analytical thinking and problem-solving skills. Our Offer What we offer Competitive salary Attractive company pension Full tool kit (if applicable) Company sick pay Voluntary critical illness cover Free eye tests Free flu jabs 24/7 Employee Assistance Programme Benefits platform with instant discounts and offers We will provide you with industry leading technical training to ensure you have the knowledge and all the tools to do your job. Plus, there are plenty of opportunities to progress your career and develop your skills within Toyota. More Information Why choose Toyota Toyota Material Handling is the world’s number one manufacturer of materials handling equipment providing quality sales and service support across the UK. We foster a culture where our team members are encouraged to continually improve their processes and strive to provide the highest quality in service for our customers. We aim to create a safe environment where our team members feel valued, fulfilled, engaged and happy. We want to attract the best talent and develop our team so that they achieve their full potential. Contract type Permanent Job location United Kingdom Location Leicester

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.