Data Analyst

Location: Wembley, England
Salary: £44K – £64K ( Estimate)

About 
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 transform operational, commercial, and performance data into actionable insights that drive better business decisions.

Key Responsibilities:

  • Data Collection & Processing: Gather, clean, and organise large datasets from multiple sources, ensuring accuracy and reliability.
  • Data Analysis: Apply advanced techniques to identify trends, generate insights, and support business decisions.
  • Reporting & Visualization: Develop reports and dashboards using Power BI within the MS Fabric framework.
  • T-SQL & Python: Extract and manipulate data for analysis and reporting using T-SQL queries or Python scripts.
  • Collaboration: Partner with senior analysts and departments to understand business needs and contribute to projects.
  • Documentation & Process Improvement: Maintain clear documentation and identify areas to improve workflows and efficiency.
  • Attention to Detail & Critical Thinking: Ensure accuracy, ask the right questions, and derive actionable insights.
  • Communication: Present findings clearly to both technical and non-technical audiences.
  • Excel Proficiency: Use advanced Excel functions, including pivot tables, v-lookups, and basic macros.

What We’re Looking For:

  • Passion for data and problem-solving, with curiosity to uncover insights.
  • Strong attention to detail and a methodical approach to analysis and reporting.
  • Willingness to learn new tools and techniques in data analytics.
  • Excellent communication and collaboration skills.

Requirements:

  • 2+ years of experience in data visualization (Power BI, Tableau, or similar), T-SQL querying, or Python for data manipulation.
  • Strong organizational and time management skills to meet reporting deadlines.
  • Exceptional analytical and critical thinking abilities.
  • Proficiency in Microsoft Excel, including pivot tables, v-lookups, and basic macros.
  • Ideally experienced in an agile working environment.

Why Join Us?
This is a hands-on role ideal for someone who enjoys working with real-world operational data, engaging with stakeholders, and turning complex datasets into insights that make a real impact.

Apply Now

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