Head of Business Intelligence

HOLLAND AND BARRETT
London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Data and Business Intelligence

Technical Business Analyst

Marketing Manager

Head of Data

Head of IT & Digital Services - Office Based Role Trafford Park MCR

Head of Innovation

About the role:

Join Us on Our Data-Driven Journey!

At Holland & Barrett, were on a mission to transform health and wellness through data. Were looking for an inspiring leader to take charge of our Business Intelligence function and help shape the way we use data to make smarter decisions across the business.

As Head of Business Intelligence, youll report to the Chief Data Officer and lead our BI Centre of Excellence. Youll manage a talented team, drive our BI strategy, and ensure data is accessible and impactful for teams across Finance, Commercial, Supply Chain, Retail, Customer, and Property. This is your chance to build scalable BI solutions, promote best practices, and foster a truly data-driven culture.

If youre passionate about turning data into actionable insights, love leading high-performing teams, and want to make a real impact, this role is for you.

What Youll Be Doing

Leading BI Strategy & Operations

  • Own and develop our Business Intelligence Centre of Excellence, aligning it with our broader data strategy.
  • Build a scalable, self-service BI model that empowers teams while maintaining solid governance.
  • Ensure our reporting, dashboards, and data visualizations provide real value to stakeholders.
  • Standardize BI tools and approaches so we work efficiently and consistently across teams.

Building & Growing an Incredible Team

  • Lead and mentor a team of BI Managers, Senior BI Developers, and BI Developers.
  • Foster a collaborative, innovative culture that encourages continuous improvement.
  • Create clear career progression paths to attract and retain top BI talent.

Optimizing Our BI Platform & Analytics

  • Oversee and improve our BI platforms, including Metabase, Retool, and Redshift.
  • Work closely with Data Engineering and Data Warehousing teams to optimize data pipelines.
  • Enable self-service analytics, equipping teams with the tools and training to explore data on their own.
  • Develop standardized dashboards and reporting solutions that drive efficiency and insights.

Making a Business Impact

  • Partner with teams across the company to define and meet reporting and analytics needs.
  • Act as a trusted advisor to leaders, ensuring BI solutions support strategic initiatives and drive growth.
  • Turn complex data into clear, actionable insights that make a measurable difference.

Ensuring Data Governance & Quality

  • Lead BIs data governance efforts, ensuring accuracy, security, and compliance.
  • Collaborate with Data Governance and Engineering teams to set standards for data integrity and accessibility.
  • Track and report on BI adoption, usage, and impact to ensure were delivering value.

Key requirements:

  • 10+ years of experience in Business Intelligence, Analytics, or Data Management, with at least 5 years in leadership roles.
  • Deep expertise in BI tools like Metabase, Tableau, Power BI, or Sisense.
  • Strong SQL, data modeling, dashboarding, and data visualization skills.
  • Experience with low-code platforms like Retool to enhance automation and efficiency.
  • A solid grasp of data warehousing, ETL processes, and data engineering best practices.
  • A proven track record of leading and developing high-performing BI teams.
  • Excellent stakeholder management and communication skills-able to make data insights clear for everyone.
  • Experience working in a multi-business-unit organization, embedding BI solutions across functions.
  • Strong project management and prioritization skills, keeping everything aligned with business goals.

Why Join Us?

At Holland & Barrett, were redefining health and wellness with data at the core. Youll have the chance to shape a best-in-class BI function, work with cutting-edge technology, and make a real difference at a global scale.

If youre excited about driving business impact through data and leading a talented team, wed love to hear from you.

Apply now and be part of our data-driven transformation! (edited)J-18808-Ljbffr

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.

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.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.