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

Apply Now

Data Analytics Lead

BDO UK LLP
City of London
4 days ago
Create job alert
Overview

Ideas | People | Trust

We’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world.

We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high‑growth businesses that fuel the economy - and directly advise the owners and management teams that lead them.

We’ll help you succeed

Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships.

You’ll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO’s partners to help businesses effectively. You’ll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with.

The Data Office is responsible for developing and implementing an enterprise-wide data strategy for BDO. Within the Data Office, the Data and Analytics team builds value-focussed data products strategically on the Enterprise Data and Analytics Platform (EDAP), internally for the firm. The Data Analytics Lead sits within this growing team to build, develop, and support the growing catalogue of data products offered by the Data Office and will play a vital part in the execution of the data strategy.

Reporting to the Data Analytics Manager, the Data Analytics Lead will be a key role in the translation of data into meaningful and actionable insights. It is also their responsibility to provide value from the wealth of data available by understanding, not only the business, but also the technical aspects of the data. They will be curious and grow their knowledge of the business and systems to get to the bottom of what stakeholders are really asking for, providing the best product to suit their needs.

The Data Analytics Lead will drive continuous improvement with developing value-adding products as well as by highlighting any data risks found through thorough testing and analysis. They will utilise their analytical expertise to support the technical development of the team and the data literacy of the business.

You will;

  • Strive for excellence in data analytics by driving, designing, building, and managing data analytics products.
  • Deliver products with the right tool, considering security, sensitivity, and a strategic versus tactical approach.
  • Work closely with the Data Engineering counterparts to develop the building blocks to analytics by understanding and contributing to the ETL processes with knowledge of project required analytical outputs.
  • Possess foresight in builds of curated datasets to allow for further use cases than the original ask to support Data Engineering with information on what would be required to enhance curated datasets.
  • Provide expert guidance and recommendations to the business on analytics, inclusive of advanced analysis, modelling and performance measurement.
  • Understand BDO’s analytical issues across streams and utilises this knowledge to maximise value from BDO’s internal data as well in conjunction with external data sources.
  • Collaborate with both business and technical subject matter experts to provide products which focus on a holistic approach.
  • Ensure that data quality and governance are at the forefront of thought and works to inform and enable the Data Governance team in the advancement of BDO’s data maturity.

You’ll be someone with;

  • Experience of working in the fields of data analysis, data science, or business intelligence.
  • Extensive experience in data analytics and data visualisation, inclusive of elements such as impact analysis and beyond descriptive and diagnostic analytics.
  • Experience with designing and building ETL, data warehousing, data preparation and SQL.
  • A track record in making data solutions accessible for end-users.
  • Experience of working with stakeholders to deliver a data-driven approach to decision making.
  • A demonstrable track record of driving the transition away from manual and heavily Excel based analysis towards automated or semi-automated solutions.
  • Experience in translating business requirements whilst also enhancing their ask by providing and explaining useful additional analysis.
  • Expert knowledge of star schema modelling including dimensional data modelling, the identification of dimensions, facts, measures and hierarchies.
  • Advanced experience developing analytics using Microsoft Power BI and/or other data visualisation tools.
  • Proficiency in SQL and, preferably, Python.
  • Experience in team and resource management.

You’ll be able to be yourself; we’ll recognise and value you for who you are and celebrate and reward your contributions to the business. We’re committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand.

At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development.

We’re in it together

Mutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs.

Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work.

We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state-of-the-art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO.

We’re looking forward to the future

At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we’re always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions

We’ve got a clear purpose, and we’re confident in our future, because we’re adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.

#LI-JB1

#TJ-JB1


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

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.