Data Analytics - Manager (UK&I) - Business Modelling & Valuations Competitive business today is all about making intelligent, informed decisions. As a Data Analytics Manager, you'll help make that happen. You'll be an important part of our diversely talented, highly experienced team and work at the forefront of high-profile transactions. Our team of around 200 people sits at the heart of a global Business Modelling & Valuation network of over 1,550 specialists who deliver high quality advice through each phase of the transaction process. The Opportunity Do you have an analytical mind-set? Within Business Modelling we have a rapidly growing Analytics offering and are now looking to establish a Data Analytics team in Belfast, to work alongside and strengthen the established London based team. We are in the process of recruiting a team of junior analysts and are looking for a lead Manager to provide oversight, technical guidance, and mentorship. We work with major corporate and private equity clients, investment banks, large central government departments and other public sector bodies, advising them on complex strategic, commercial, financial and operational decisions and you'll be an integral part of the team delivering on multiple projects. Your key responsibilities As a Manager within Data Analytics, you will spend your day to day constructing purpose-built databases as well as applying data wrangling tools and a wide range of programming languages to drive exceptional outcomes for our clients. You will manage multiple stakeholders, coach junior members of the team, and play a central role in the execution of complex projects. Alongside project work, you will also serve as the Belfast team lead, supported by experienced Senior Managers and Directors, to provide technical guidance and mentorship to a team of c.10 junior analysts. Your role will be crucial to ensuring their technical and professional development, whilst maintaining the high standard of service our clients expect. Skills and Attributes for Success Decision making - strong client management and communication skills, rigorous analytical techniques and excellent data handling skills. Technical Expertise - Constructing purpose-built databases storing large client datasets for our analytical models, using data wrangling tools, visualisation tools, SQL stored procedures, programming and statistical tools, to derive insight through forecasting calculations and simulations, in a fast-moving transaction environment. Coaching - Proven experience managing colleagues, co-ordinating in-person team activities, and helping others navigate and shape their careers. Project Management - Actively involved throughout the lifecycle of an assignment - requirements definition, specification, data collection, solution design, development, documentation, implementation and user training. Database management - Designing and building complex database models to perform analysis on large diverse datasets. Client service - Manages clients' expectations in relation to deliverables. Risk averse - Identifies risk on the assignment, involving senior team members appropriately in its resolution. To qualify for the role, you must have Qualification in Computer Science, Operational Research, Statistics, Mathematics, Engineering or highly numerate science. Strong experience in SQL Server and MS Excel. Experience using visualisation tools such as Power BI, Tableau, or Qlikview. Highly numerate with a strong technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues. Ability to work with clients and model users to identify their particular use case requirements, to design appropriate solutions to load data, perform complex calculations, derive insights and deliver interfaces tools to provide repeatable visual output. Ideally you will also have Experience in applying analytical techniques, to calculate problems such as predictive forecasting, prescriptive action, capacity planning. Good understanding of user experience (UX) design principles and strong visual creativity. Programming experience in VB, VBA, SQL stored procedures. Experience with cloud-based data warehouse environments. Proficiency in programming languages such as R, Python, Java, C# or C++. What we offer Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. Please note; Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness here . We ask because it matters! EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.