Director of Data & Analytics

Macgregor Black
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - 6 month FTC

Data Science and AI Specialist

Real World Data Scientist (Associate Director)

Product Data Scientist

Data Science Graduate

Data Science Graduate

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.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.