Lead Data Insight Analyst

Bristol
5 days ago
Create job alert

Lead Data Insight Analyst required by our market leading, multi-national, consumer tech business based out of Bristol on a hybrid basis. You would need to spend 1-2 days a week onsite but with flexibility.

This is a standalone role within the business and will work very closely with the Founder. They need a forward-thinking Lead Data Insight Analyst ensure data is a key driver in shaping the product development and company direction. You will ideally come from high-growth digital environments, demonstrate strong analytical capabilities, and have the confidence to challenge assumptions with data-driven insights.

Main Responsibilities:

  • Conduct in-depth data analysis across all business areas to inform and enhance product development strategies.

  • Collaborate closely with senior leadership, product, and engineering teams to identify trends, solve challenges, and seize new opportunities.

  • Develop strong relationships with key stakeholders and contribute to long-term strategic planning.

  • Use quantitative analysis, data mining, and visualisation techniques to understand user behaviour and provide actionable insights.

  • Promote a data-driven culture, encouraging best practices in analytics and decision-making.

  • Lead experimentation initiatives, including A/B testing, predictive modelling, and other analytical methodologies.

    Ideal Background:

  • A Degree in a relevant field such as Econometrics, Computer Science, Data Science, Statistics, or similar.

  • Strong proficiency in SQL and hands-on experience with statistical programming languages such as Python, R, or MATLAB.

  • Expertise in data visualisation tools, particularly Tableau.

  • Proven track record of leading data-driven decision-making in high-growth digital businesses.

  • Experience in experimentation frameworks (A/B testing, multivariate analysis, predictive analytics, etc.).

  • A problem-solver who thrives in a dynamic, evolving environment and can manage ambiguity effectively.

  • Excellent communication skills, with the ability to influence and collaborate across teams.

  • Willingness to travel occasionally as part of a globally connected business.

    What’s in it for you:

  • Competitive salary

  • Discretionary bonus

  • The opportunity to work in a highly ambitious, fast-paced environment.

  • A dynamic workplace where innovation and data-driven decision-making are at the heart of everything we do.

  • A collaborative culture that values initiative, creativity, and continuous learning

Related Jobs

View all jobs

Senior Manager Marketing Data & Insights Strategy

Senior Credit Risk Analyst (Lead) - Consumer Lending

Lead Data Scientist

Data Architect

German Speaking Team Lead - Credit Analyst

Head of Data

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.