National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst IT · Wembley

Flannery Plant Hire (Oval) Ltd.
Wembley
1 week ago
Create job alert

Job Title:

Senior Data Analyst
Location:

Wembley
Position Type:

Full-time
About Flannery Plant Hire:
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.
Job Description:
We are looking for a skilled and experienced Senior Data Analyst to join our team, as we expand on our data and analytics space, to fully exploit our data and help drive data-driven decision-making. This role requires a hands-on approach to data analytics, working across multiple stakeholders and managing complex datasets to provide valuable insights.
Key Responsibilities
Develop and maintain dashboards and reports in Power BI to support business needs.
Write and optimize SQL queries (views and select statements) to transform and extract data efficiently.
Design and implement ETL processes to ensure clean and structured data pipelines.
Utilize Python for data analysis, automation, and workflow optimization.
Leverage Power Automate to streamline and enhance business processes.
Collaborate with internal and external stakeholders, including directors, sales teams, and operational staff, to understand data requirements and deliver actionable insights.
Ensure data integrity and governance by following best practices for data management.
Identify trends, patterns, and insights that support strategic decision-making.
Work in an agile environment, adapting to short timescales and shifting priorities effectively.
Required Skills & Experience
3+ years of experience in a data analyst or similar role.
Strong skills in Power BI, including report/dashboard development and DAX calculations.
Proficiency in SQL, including writing efficient queries for data transformation and analysis.
Experience with ETL tools and processes, ensuring efficient data extraction and transformation.
Experience with Power Automate for workflow automation.
Strong problem-solving skills and the ability to translate business needs into data solutions.
Excellent communication skills, with the ability to present complex data to both technical and non-technical stakeholders.
Ability to thrive in a fast-paced, dynamic environment with tight deadlines.
Desirable Skills
Working knowledge of Python for data manipulation and automation.
Knowledge of data warehousing concepts and best practices.
Familiarity with Microsoft Fabric, including its use in data engineering, analytics, and real-time data processing.
Experience with Power Apps for building low-code applications that integrate with data workflows.
Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making.
Exposure to machine learning or advanced analytics techniques is a plus.
Why Join Us?
Be part of a forward-thinking team, helping to build the culture where data drives decision-making.
Work with a diverse range of stakeholders across multiple functions.
Enjoy opportunities for professional growth and development.
What We Offer:
We offer a highly competitive salary and package that reflects your skills and experience.
Enjoy 23 days plus bank holiday annual leave and personal leave to maintain a healthy work life balance.
Take advantage of training programs, workshops, and seminars to enhance your skills and advance your career.
Access to free, confidential support services for personal and work-related issues.
Join a company that prioritises safety and sustainability, ensuring a safe and Eco-friendly working environment.
Work with the best and latest plant and machinery in the industry.
Be part of a supportive and collaborative team that values each member’s contribution.
Acknowledge and reward outstanding performance and dedication with various recognition programs.
Equal Opportunities
At Flannery Plant Hire, we flourish by embracing differences, whether they stem from social backgrounds, ethnicity, disability, gender identity or expression, age, religion, sexual orientation, or any other protected characteristic. We recognize that diversity unleashes a wealth of innovative thinking, which is integral to building successful and high-performing teams. We call it "Empowering Everyone."

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst - 12 month Fixed Term Contract

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.