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- Tasks: Lead innovative data analytics projects and create impactful dashboards for clients.
- Company: Join a boutique consulting firm transforming industries with strategic data solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and flexible working arrangements.
- Why this job: Be part of a creative team driving change in major sectors while honing your data skills.
- Qualifications: Experience in data strategy, analytics consulting, and proficiency in SQL, Python, or R required.
- Other info: Ideal for self-starters who thrive in fast-paced, entrepreneurial settings.
The predicted salary is between 43200 - 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.
- 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).
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. 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.
BI & Data Science Lead employer: Dune Advisors
Contact Detail:
Dune Advisors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI & Data Science Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and machine learning. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the BI and data science community. Attend industry events, webinars, or local meetups to connect with others in the field. This can lead to valuable insights and potential referrals that could help you land the job.
✨Tip Number 3
Showcase your storytelling skills by preparing a portfolio of past projects where you've successfully translated complex data into actionable insights. This will highlight your ability to communicate effectively, which is crucial for the role.
✨Tip Number 4
Research our company’s recent projects and case studies. Understanding our approach and the challenges we tackle will allow you to tailor your discussions during interviews, showing that you're genuinely interested in contributing to our mission.
We think you need these skills to ace BI & Data Science Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, machine learning, and project management. Use specific examples that demonstrate your ability to lead data-driven projects and deliver impactful results.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and consulting. Mention how your background aligns with the company's focus on Life Sciences, Manufacturing, and Infrastructure sectors, and provide examples of how you've successfully tackled similar challenges.
Showcase Technical Skills: Clearly list your technical skills, including proficiency in SQL, Python, R, and BI tools like Power BI or Tableau. Highlight any certifications you have in cloud platforms (AWS/GCP/Azure) and how they relate to the role.
Demonstrate Communication Skills: Since excellent communication is key for this role, ensure your application reflects your ability to simplify complex concepts. Use clear language and structure your application to showcase your storytelling skills, particularly in how you present data insights.
How to prepare for a job interview at Dune Advisors
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data analytics tools and programming languages like SQL, Python, or R. Highlight specific projects where you led end-to-end data analytics initiatives, demonstrating your ability to solve complex business problems.
✨Demonstrate Your Storytelling Skills
Since the role requires excellent communication and storytelling abilities, practice explaining complex data concepts in simple terms. Prepare examples of how you've translated data insights into actionable recommendations for clients.
✨Familiarise Yourself with Cloud Technologies
As the position involves leveraging cloud data processing frameworks, ensure you understand platforms like AWS, GCP, or Azure. Be ready to discuss how you've used these technologies in past projects to enhance data capabilities.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work under pressure. Think of examples from your previous roles where you successfully managed complex projects and met tight deadlines.
