Data & BI Lead
Role details
Job location
Tech stack
Job description
As the Data Lead, you will be the architect of our clients' data foundations. You'll lead the design and delivery of intelligence-driven projects, ensuring that every insight is built on a bedrock of clean, compliant, and scalable data. You are a "hands-on" practitioner who can build a data warehouse today and discuss the strategic ROI of AI-integration tomorrow., * Data Architecture: Lead the design and delivery of modern data warehouses and scalable pipelines using tools like BigQuery, Azure, and dbt.
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BI & Analytics: Standardise frameworks for visualisation and web analytics to provide clients with actionable, evidence-driven insights.
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AI Integration: Act as the bridge between data execution and AI growth, implementing RAG/LLM tools and reusable AI components onto solid data foundations.
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Technical Consultation: Translate complex client requirements into technical roadmaps for both BI transformation and AI readiness.
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Strategic Growth: Partner with Growth and Sales teams to create proof-of-concepts and demos that showcase our data and AI capabilities.
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Governance & Mentorship: Support and mentor other analysts while embedding ethical AI standards and GDPR-compliant data governance into everything we build, 2nd Stage - A face-to-face interview with a our CTO and a member of the Executive team. We'll probe around your commercial experience and approach to client relationships. Offer - If we think it's a good fit, we'll make you an offer! What's in it for you? ️ 28 days annual leave, in addition to the bank holidays Hybrid-working - we're in the office twice a week Workplace nursery scheme Health cash plan ️ Life insurance 2x annual salary Cycle-to-work scheme
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Flexible working hours
Employee well-being and mental health programme Relaxed working environments - office dogs welcome! Company socials and lots of fun!
Requirements
Do you have experience in SQL?, To thrive in this role, you need to be a proactive go-getter who is a BI Analyst and Data Warehouse specialist first and foremost, with a passion for growing into the AI space. Key qualities include:
- Data Engineering Specialist: Deeply proficient in SQL and Python, with a strong background in architecting data warehouses and managing complex pipelines.
- Platform Pro: High level of familiarity with cloud-based solutions (Google Cloud, Azure, or AWS) and the modern data stack.
- Analytics Expert: Significant experience in web analytics and building sophisticated BI visualisation frameworks.
- AI Fluent: Hands-on experience (or a proven drive to develop) in deploying LLMs and modern frameworks like LangChain or OpenAI.
- Clear Communicator: Confident in explaining complex technical data structures to non-technical stakeholders and internal teams.
- Agency Pro: Comfortable in a fast-paced environment, balancing multiple projects and shifting priorities with a proactive mindset.