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For Companies At a Glance
- Tasks: Lead innovative data analytics projects and create impactful dashboards.
- Company: Join a boutique consulting firm transforming industries with strategic data solutions.
- Benefits: Enjoy flexible working options and a collaborative, high-achieving culture.
- Why this job: Be part of a dynamic team driving change in exciting sectors like Life Sciences and Manufacturing.
- Qualifications: Experience in data strategy, analytics, and strong communication skills required.
- Other info: Opportunity to work on unique projects and solve complex challenges.
The predicted salary is between 54000 - 84000 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, visualisation 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 management consulting and data analytics sectors. Attend industry events or webinars, and connect with people on platforms like LinkedIn. This can lead to valuable insights and potential referrals for the Data Intelligence Lead position.
✨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 business outcomes. Real-world examples will make you stand out.
✨Tip Number 4
Showcase your storytelling skills by preparing a few case studies that illustrate how you've transformed complex data into actionable insights. This will highlight your ability to communicate effectively, which is crucial for the 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 your extensive experience in data strategy and analytics consulting. Focus on specific projects where you've led data analytics initiatives, showcasing your skills in ML/AI, data governance, and architecture.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to simplify complex technical concepts and your experience in creating actionable insights. Mention your familiarity with tools like Power BI or Tableau and how you can contribute to the company's growth.
Showcase Relevant Certifications: List any relevant certifications in cloud platforms (AWS/GCP/Azure) or BI tools (Tableau, Power BI) prominently in your application. This will demonstrate your commitment to professional development and expertise in the field.
Highlight Problem-Solving Skills: Use specific examples in your application to illustrate your problem-solving abilities. Describe situations where you've tackled complex challenges and how your analytical skills led to successful outcomes.
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 consulting. Highlight specific projects where you've led end-to-end data analytics, focusing on the impact of your work and how it solved client business problems.
✨Demonstrate Storytelling Skills
Since excellent communication is key, practice simplifying complex technical concepts. Prepare examples of how you've translated data insights into actionable recommendations, perhaps through dashboards or reports, 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 your experience with tools like Databricks and how you've assessed and recommended data science tooling in previous roles.
✨Exhibit Problem-Solving Mindset
Prepare to share instances where you've tackled challenging data problems. Emphasise your inquisitive nature and adaptability, showcasing how you thrive in fast-paced environments while managing multiple tasks effectively.
