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For Companies At a Glance
- Tasks: Lead innovative data analytics projects and create impactful insights for clients.
- Company: Join a boutique consulting firm transforming industries with strategic advisory services.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a creative team driving change in exciting sectors like Life Sciences and Manufacturing.
- Qualifications: Bring your expertise in data strategy, analytics, and storytelling to make a difference.
- Other info: Ideal for those who thrive in fast-paced settings and love solving complex challenges.
The predicted salary is between 48000 - 72000 ÂŁ per year.
About Us - We are a boutique management consulting firm specialising in providing strategic advisory and transformation support to clients across Life Sciences, Manufacturing and Infrastructure sectors. Based in the UK, our team works closely with large organisations to drive impactful change through conceptualisation, design and implementation of company-wide Transformation programs. We pride ourselves on delivering creative, results-oriented solutions and are seeking an experienced Data Lead to drive the next level of growth in the Data Capability. You will have an extensive background in delivering innovative, tailored data driven solutions combined with insight generation.
Key responsibilities
- Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems.
- Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics problems (budget forecasting, customer segmentation, price/volume analysis), including code templates, visualization standards, and deployment guidelines.
- Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau.
- Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data.
- Technology & Infrastructure Advisory: Assess and recommend data science tooling, platform architecture (cloud/on‑premise), and MLOps practices to ensure scalable, maintainable analytics pipelines (including API calls to various services).
What You’ll Bring:
- Extensive experience in data strategy and analytics consulting, ideally working with management consultancies or a leading analytics-focused consulting firm.
- Strong understanding of data governance, data architecture, data analytics, and AI/ML technologies.
- Excellent communication and storytelling skills—able to simplify technical concepts and craft compelling data‑driven narratives.
- Certifications in cloud (AWS/GCP/Azure) or BI tools (Tableau, Power BI).
- Demonstrable knowledge of data, technology and one or more data-focused programming languages such as SQL, Python, R.
- Adaptability with strong multi-tasking and time management skills. Excel in a fast-paced, entrepreneurial environment with high achievers and demanding client expectations.
- Self-discipline for planning and organising tasks, and delivering in an unstructured environment.
- Excellent communication, leadership, and stakeholder management skills, with a track record of delivering complex projects in fast-paced environments.
- Willingness to work outside of normal business hours, and in particular as unique projects/needs arise.
- A genuine affinity for problem solving - an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues.
Data Intelligence Lead employer: Dune Advisors
Contact Detail:
Dune Advisors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Intelligence Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and AI/ML technologies. Being well-versed in these areas will not only boost your confidence during interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the consulting and data analytics sectors. Attend industry events or webinars where you can connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led data analytics initiatives. Be ready to share how you approached problem-solving, the tools you used, and the impact of your work on previous clients.
✨Tip Number 4
Showcase your storytelling skills by preparing examples of how you've translated complex data findings into actionable insights for stakeholders. This will highlight your ability to communicate effectively, a key requirement for the Data Intelligence Lead role.
We think you need these skills to ace Data Intelligence Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data strategy and analytics consulting. Emphasise your background in delivering data-driven solutions and any specific projects that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, showcase your understanding of the company's focus on Life Sciences, Manufacturing, and Infrastructure sectors. Discuss how your skills in advanced analytics and storytelling can contribute to their transformation programs.
Highlight Technical Skills: Clearly list your technical skills, especially in data governance, architecture, and AI/ML technologies. Mention any certifications you hold in cloud platforms or BI tools, as these are crucial for the role.
Showcase Problem-Solving Abilities: Provide examples of how you've tackled complex challenges in previous roles. Use specific metrics or outcomes to demonstrate your impact, as this aligns with the company's emphasis on delivering results-oriented solutions.
How to prepare for a job interview at Dune Advisors
✨Showcase Your Data Expertise
Be prepared to discuss your extensive experience in data strategy and analytics. Highlight specific projects where you've led end-to-end data analytics, focusing on the impact your work had on client outcomes.
✨Demonstrate Storytelling Skills
Practice explaining complex data concepts in simple terms. Use examples from your past work to illustrate how you’ve transformed data insights into actionable recommendations, especially using tools like Power BI or Tableau.
✨Familiarise with Relevant Technologies
Brush up on your knowledge of cloud data processing frameworks and MLOps practices. Be ready to discuss how you've assessed and recommended data science tooling in previous roles, showcasing your technical acumen.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of challenging scenarios you've faced in previous roles and how you navigated them, particularly in fast-paced environments with high client expectations.
