Head of Data Analytics

Feltham North
1 week ago
Applications closed

Related Jobs

View all jobs

Interim Head of Data & Analytics

Head of Data Science | London Market

Global Head of Data Engineering

Head of Digital & ICT

Graduate with 2 Years Experience in Project Management & Data

Digital Marketing Specialist

Head of Data Analytics

Pinpoint Resourcing are working with a well established logistics company based near Hounslow, who are actively seeking a Head of Data Analytics to join their team.

Job Description & Role

As Head of Data Analytics, you are responsible for leading the strategic use of data to drive business insights, decision-making, and performance improvement across the organisation. This role involves overseeing data collection, analysis, and visualisation, managing a team of analysts, and collaborating with stakeholders to translate complex data into actionable strategies. You ensure data integrity, implement advanced analytics methodologies, and contribute to the development of a data-driven culture, aligning analytics initiatives with overall business goals.

Main Responsibilities

  • Define key performance indicators and build dashboards that make operational performance transparent and actionable

  • Proactively identify areas for improvement across the network and recommend strategic and operational initiatives

  • Translate complex business problems into analytical questions – and analytical results into clear, actionable recommendations

  • Collaborate with our IT department to build data solutions that improve our network’s efficiency and resilience

  • Operate independently while being a collaborative team member—effectively managing relationships, deliverables, and expectations with business stakeholders

  • Identify and specify data needs and quality requirements and work closely with IT to ensure data is available, accurate and corresponds to the business needs

  • Consolidate and distribute best analytical practices from different teams and countries

    Requirements

  • 6+ years of experience as a data analyst or in a similar role

  • Excellent SQL skills and experience with BI/data visualisation tools (Preferably Power BI)

  • Excellent analytical and problem-solving skills, with a proven ability to derive insight and drive change from data

  • Effective communication skills – you can clearly explain technical results to both technical and non-technical audiences

  • Highly collaborative and cross-functional experience, especially in fast-moving operational environments

  • A commercial mindset – you care about impact, not just insight

    Salary + other information:

  • £45,000 - £50,000

  • 4 days in the office - 1 day from home

  • Based near Hounslow

    If you are interested in hearing more, please apply today!

    Due to the anticipated high volume of applications for this advertisement, it is with regret that we may only be able to contact those applicants successful in being shortlisted. However, your application for this or any further roles, may mean that we are able to contact you when additional vacancies become available. Should you not want this to be the case, please feel free to contact us directly to ensure we are aware of your wishes.

    Pinpoint Resourcing Ltd is an employment agency and employment business

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.