Data Analyst

Flannery Plant Hire (Oval) Ltd.; Wembley; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading equipment rental company in Wembley is seeking a Data Analyst to transform data into actionable insights. The role involves gathering and analyzing data to improve business decisions through high-quality reporting. Ideal candidates have 2+ years of experience in data visualization tools like Power BI and possess strong analytical and communication skills. Collaborating with various teams, you will be pivotal in solving business challenges and enhancing operational efficiency.

Qualifications

• 2+ years of experience in data visualization using tools like Power BI or Tableau.
• Strong organizational and time-management skills.
• Excellent attention to detail and analytical abilities.

Responsibilities

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

Skills

Data analysis

Problem-solving

Attention to detail

Communication skills

Tools

Power BI

T-SQL

Python

Microsoft Excel

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 optimisation 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 maximise 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 organisation 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 visualisation using tools like Power BI, Tableau, or similar platforms, or exposure to T‑SQL for querying databases or Python for basic data manipulation.
• Strong organisational 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.