Data Analyst

Flannery Plant Hire (Oval) Ltd.; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading provider of plant hire services in Wembley is seeking a Data Analyst to provide meaningful insights from operational data. The successful candidate will collaborate with various departments to improve performance visibility and efficiency through advanced data analysis and reporting. A background in data visualization tools like Power BI, along with strong Excel skills, is essential for this role. This is a dynamic opportunity for problem-solvers eager to leverage data for impactful business decisions.

Qualifications

• 2+ years of experience in data visualization tools like Power BI or Tableau.
• Proficiency in T-SQL for querying databases or Python for data manipulation.
• Strong communication skills for presenting findings.

Responsibilities

• Gather and process large datasets from multiple sources.
• Use advanced analytical techniques to identify trends and insights.
• Create reports and visualizations using Power BI.

Skills

Data visualization

T-SQL

Python

Microsoft Excel

Critical thinking

Communication

Tools

Power BI

Tableau

Job description

Data Analyst

Wembley

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 hands‑on role suited to someone who enjoys working with real‑world 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 easy‑to‑understand format.
• T‑SQL and Python: Perform T‑SQL 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 non‑technical audiences.
• Excel Proficiency: Use advanced functions in Microsoft Excel, including pivot tables, v‑lookups, and basic macros, for data organization and analysis.

What We’re Looking For

• A passion for data and problem‑solving, 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.

Requirements

• 2 + years of experience in data visualization using tools like Power BI, Tableau, or similar platforms, or exposure to T‑SQL 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 non‑technical audiences.
• Proficiency in Microsoft Excel, including functions like pivot tables, v‑lookups, and basic macros.
• Ideally you will have exposure/ delivered within an agile environment.