Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analytics consultant

Dune Advisors
London
3 days ago
Create job alert

About the Company

We are a growing, boutique Transformation and M&A Consultancy founded in 2015. Our London-based team of 20 partners with large corporate clients in Life Sciences, Manufacturing, and Infrastructure sectors to drive strategic business transformation. We work closely with C-suite executives to design and implement high-impact programs that create value through revenue growth, cost optimisation, and operational excellence.


About the Role

We are seeking an experienced Management Consultant with strong Analytics and Power BI expertise to join us immediately. This role requires extensive experience in data analysis, business intelligence, and dashboard development to support consulting engagements. You will play a crucial role in translating complex data into actionable insights, enabling strategic decision-making to transform businesses. The role is based in London, with a hybrid working model (3 days/week in-office).


Responsibilities

  • Extract, transform, and analyse large datasets from multiple sources to support financial, commercial and operational analysis.
  • Navigate through data, cleanse and generate meaningful insights for strategic decision-making.
  • Communicate information and analyses to clients by building PowerBI dashboards and reports. Generate visually appealing presentation and collateral for clients.
  • Be responsible for day-to-day project management, track and share progress and ensure timely delivery of key milestones
  • Understand business drivers, explain complex data simply and present findings and recommendations to senior stakeholders in a structured and impactful manner.
  • Be a proactive and fun team player and communicate well with clients at all levels



Required Skills and Experience

  • Experience in a top management consulting firm for 5+ years
  • Bachelor’s degree in a related subject – e.g. Business, Finance, Accounting, Mathematics
  • Strong analytical and problem-solving skills and solid business acumen. Resourceful at finding data and information for analysis
  • Ability to synthesize complex data, identify trends and translate insights into clear recommendations.
  • Experienced with executing a broad range of data, modelling and analytical concepts and methodologies, including: Market sizing, Competitive analysis, Benchmarking, Financial modelling and Valuation, Financial statement analysis, Portfolio review and rationalization, Customer segmentation and analysis
  • High EQ with strong verbal and written communication skills, including story boarding and developing clear and concise presentations for senior stakeholders.
  • Strong expertise in Power BI, including DAX, data modelling, and dashboard development.
  • Highly adaptable, able to work in a fast-paced consulting environment.


If you are a proactive, results-driven data enthusiast with Power BI expertise and are available immediately, we’d love to hear from you!

Related Jobs

View all jobs

Senior Data Analytics consultant

Consultant / Senior Consultant (Assistant Manager), Data Analytics

Data Analytics Engineer

Senior Data Engineer refH225

Data Analytics - Principal Consultant

Senior Data Engineer - (2016)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.