Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst

Wembley
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Data.One

Senior Data Scientist

Senior Data Scientist - B2B

Senior Data Scientist - Marketing

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

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.