Head of Business Intelligence (Basé à London)

Jobleads
London
6 days ago
Create job alert

About the role:

Join Us on Our Data-Driven Journey!

At Holland & Barrett, we're on a mission to transform health and wellness through data. We're 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, you'll report to the Chief Data Officer and lead our BI Centre of Excellence. You'll 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 you're 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 You'll Be Doing

Leading BI Strategy & Operations

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

Building & Growing an Incredible Team

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

Optimizing Our BI Platform & Analytics

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

Making a Business Impact

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

Ensuring Data Governance & Quality

  1. Lead BI's data governance efforts, ensuring accuracy, security, and compliance.
  2. Collaborate with Data Governance and Engineering teams to set standards for data integrity and accessibility.
  3. Track and report on BI adoption, usage, and impact to ensure we're delivering value.

Key requirements:

  1. 10+ years of experience in Business Intelligence, Analytics, or Data Management, with at least 5 years in leadership roles.
  2. Deep expertise in BI tools like Metabase, Tableau, Power BI, or Sisense.
  3. Strong SQL, data modeling, dashboarding, and data visualization skills.
  4. Experience with low-code platforms like Retool to enhance automation and efficiency.
  5. A solid grasp of data warehousing, ETL processes, and data engineering best practices.
  6. A proven track record of leading and developing high-performing BI teams.
  7. Excellent stakeholder management and communication skills-able to make data insights clear for everyone.
  8. Experience working in a multi-business-unit organization, embedding BI solutions across functions.
  9. Strong project management and prioritization skills, keeping everything aligned with business goals.

Why Join Us?

At Holland & Barrett, we're redefining health and wellness with data at the core. You'll 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 you're excited about driving business impact through data and leading a talented team, we'd love to hear from you.

Apply now and be part of our data-driven transformation!

#J-18808-Ljbffr

Related Jobs

View all jobs

▷ (15h Left) Head of Business Intelligence, Veeqo

Technical Business Analyst

Fractional Global Head of Marketing (12 Months) London · (Basé à London)

NIHR RRDN South London Head of Strategy, Engagement and Inclusion (Basé à London)

FP&A Analyst

Marketing Manager

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.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.