Director of Data & Analytics

Macgregor Black
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, Data Science - Market Access

Product Data Scientist

Senior Data Scientist

Senior Manager, Data Science - eBay Live

Data Science Graduate

Data Science and Innovation Manager

Director of Data & Analytics



Do you have the skills to fill this role Read the complete details below, and make your application today.

Are you a visionary in driving data-driven strategies and leading analytics teams to unlock valuable insights?


Can you transform data into strategic assets that fuel business innovation and growth?


Do you thrive in an environment where analytics drive decision-making and customer understanding?


MacGregor Black is currently partnering with aLeading International Consumer Goods companyon the search for aDirector of Data & Analytics. This is a permanent role based inLondon.


As theDirector of Data & Analytics,you will spearhead the analytics function, focusing on utilizing data to enhance decision-making processes across the business. Your primary responsibility will be to develop and implement advanced analytics strategies that drive consumer engagement, optimize marketing efforts, and improve overall business performance.


Key Responsibilities:


  • Strategic Leadership: Craft and execute a comprehensive data and analytics strategy aligned with the company's business objectives.
  • Data Management: Oversee data governance, ensuring data accuracy, integrity, and accessibility across the organization.
  • Insight Generation: Lead a team to extract valuable insights from data, providing actionable recommendations to various business units.
  • Advanced Analytics: Employ advanced analytics techniques, including predictive modeling, customer segmentation, and A/B testing, to influence key business outcomes.
  • Performance Metrics: Define and monitor key performance indicators (KPIs) to gauge the success of analytics initiatives.
  • Cross-Functional Collaboration: Partner with different teams to ensure that data-driven insights are integrated into business strategies.
  • Reporting: Prepare and deliver clear, data-driven reports and presentations to senior leadership, offering insights and strategic recommendations.


What we’re looking for?


  • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, or a related field.
  • Extensive experience in data analytics, with a proven track record of leading high-performing analytics teams.
  • Expertise in data analysis tools such as SQL, Python, R, and advanced Excel.
  • Experience with data visualization platforms like Tableau, Power BI, or equivalent.
  • Ability to translate complex data into meaningful business insights.
  • Strong leadership, communication, and collaboration skills.
  • Strategic thinker with a focus on driving results.
  • Experience in the consumer goods industry is highly desirable.


Competitive salary + benefits package.


Please contactGabby Zachrissonfor more information today.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.