Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into insights that drive better business decisions and improve performance.
- Company: Flannery Plant Hire, a leader in plant hire for the construction industry.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
- Why this job: Dive into real-world data and make a tangible impact on business operations.
- Qualifications: Experience with data visualisation tools and strong analytical skills.
- Other info: Join a dynamic team focused on innovation and continuous improvement.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Flannery Plant Hire is a leading provider of plant hire and specialist attachments to the construction industry across the UK and Ireland. With a comprehensive fleet of innovative machinery, we pride ourselves on delivering exceptional customer service and meeting our clients' project requirements.
As part of our continued growth, we are looking for a Data Analyst to help turn operational, commercial, and performance data into meaningful insights that support better decision-making across the business. Our Data Analyst will work closely with operational, commercial, finance, and IT teams to analyse data from across the business and translate it into clear, actionable insights. The role will focus on improving visibility of performance, utilisation, efficiency, and compliance through high-quality reporting and analysis. This is a handsâon role suited to someone who enjoys working with realâworld operational data and engaging with stakeholders to solve business problems.
Key Responsibilities- Data Collection & Processing: Gathering, clean, and organise large datasets from multiple sources, ensuring data accuracy and reliability.
- Data Analysis: Apply advanced analytical techniques to identify trends, generate insights, and support business decisions.
- Reporting & Visualization: Create reports and data visualisations using Power BI within the MS Fabric framework, presenting findings in a clear and easyâtoâunderstand format.
- TâSQL and Python: Perform TâSQL queries (or Python scripts) to extract and manipulate data for analysis and reporting tasks.
- Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
- Documentation & Process Improvement: Document analysis processes, workflows, and procedures, identifying areas for optimization and efficiency improvements.
- Attention to Detail: Ensure high accuracy in all aspects of data cleaning, analysis, and reporting to maintain quality standards.
- Critical Thinking: Understand the data, ask relevant questions, and derive actionable insights to maximize its value.
- Communication: Present findings effectively through written and verbal communication, tailoring insights for technical and nonâtechnical audiences.
- Excel Proficiency: Use advanced functions in Microsoft Excel, including pivot tables, vâlookups, and basic macros, for data organization and analysis.
- A passion for data and problemâsolving, with curiosity to uncover insights and address challenges.
- Strong attention to detail and a methodical approach to data analysis and reporting.
- An eagerness to learn new tools and techniques, staying up to date with advancements in data analytics.
- Strong communication skills, with the ability to effectively collaborate in a team environment.
- 2 + years of experience in data visualization using tools like Power BI, Tableau, or similar platforms, or exposure to TâSQL for querying databases or Python for basic data manipulation.
- Strong organizational and time management skills to handle multiple reporting deadlines.
- Excellent attention to detail, ensuring accuracy in all aspects of work.
- Strong analytical and critical thinking abilities to interpret data and generate actionable insights.
- Effective communication skills to present findings to technical and nonâtechnical audiences.
- Proficiency in Microsoft Excel, including functions like pivot tables, vâlookups, and basic macros.
- Ideally you will have exposure/ delivered within an agile environment.
Data Analyst in London employer: Flannery Plant Hire (Oval) Ltd.
Contact Detail:
Flannery Plant Hire (Oval) Ltd. Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Power BI or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data visualisation tools like Power BI and any relevant projects that showcase your analytical skills. We want to see how you can turn data into insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your problem-solving skills can benefit our team. Be sure to mention your eagerness to learn and collaborate with others.
Showcase Your Skills: Donât forget to highlight your technical skills, especially in T-SQL, Python, and Excel. We love seeing examples of how you've used these tools to solve real-world problems or improve processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at Flannery Plant Hire (Oval) Ltd.
â¨Know Your Data Tools
Make sure you brush up on your skills with Power BI, T-SQL, and Python before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
â¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in previous roles. Think about specific instances where your insights led to better decision-making or improved processes, as this will highlight your critical thinking abilities.
â¨Communicate Clearly
Practice explaining complex data insights in simple terms. You might be asked to present findings to both technical and non-technical audiences, so being able to tailor your communication style is key. Consider doing a mock presentation to a friend or family member.
â¨Ask Insightful Questions
At the end of the interview, donât forget to ask questions that show your interest in the role and the company. Inquire about the types of projects youâd be working on or how the data team collaborates with other departments. This demonstrates your eagerness to engage and contribute.
