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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MIBI Data Analyst - **Company:** Sumitomo Mitsui Banking Corporation - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Profiling, Data Architecture, Data Discovery, Data Files, Data Visualization, Database Queries, Power BI, Software Requirements Analysis, SQL Databases, Visual Analytics, Data Processing, Cloud Platform System, Data Strategy, Powerquery, Data Analytics, Data Management, Tools for Reporting, Alteryx - **Published:** August 8, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=83ef42c7166a4cc7 ## About the Role Essential Experience working in a data team and collaborating with cross-functional teams to identify, scope and develop data analytics solutions. An outstanding problem solver who has an analytical mindset, is inquisitive and excellent with technology enabling a creative approach to solution scoping and delivery. Strong experience with using Power BI to develop interactive data driven dashboards. Strong SQL skills to support data discovery and profiling. This should include experience of working with raw and aggregated data and reviewing transformation logic as well as diverse and complex data sets and all data types. Strong data manipulation and preparation skills with experience of using Alteryx, Power Query or similar applications.Experience of testing reports and data analytics dashboards. Effective written and verbal communication skills. Experience of working in the financial services industry and knowledge of data related regulatory requirements for financial service sector. The ideal candidate will have experience working in an investment bank and a good understanding of banking processes. Demonstrable experience of training, mentoring and coaching others in the use of applications. Ability to plan and manage own work to meet challenging deadlines with minimal supervision. Desirable A good understanding of core mathematical and statistical concepts. A good understanding of, and experience of applying, project management principles and approaches like waterfall and agile. Experience of working in an organisation that has rolled out self-serve analytics tooling at enterprise level. Knowledge of emerging trends and issues within the Data Analytics and Data Science landscapes. Experience working with cloud environments & components (e.g. AWS, Azure). Essential Experience working in a data team and collaborating with cross-functional teams to identify, scope and develop data analytics solutions. An outstanding problem solver who has an analytical mindset, is inquisitive and excellent with technology enabling a creative approach to solution scoping and delivery. Strong experience with using Power BI to develop interactive data driven dashboards. Strong SQL skills to support data discovery and profiling. This should include experience of working with raw and aggregated data and reviewing transformation logic as well as diverse and complex data sets and all data types. Strong data manipulation and preparation skills with experience of using Alteryx, Power Query or similar applications.Experience of testing reports and data analytics dashboards. Effective written and verbal communication skills. Experience of working in the financial services industry and knowledge of data related regulatory requirements for financial service sector. The ideal candidate will have experience working in an investment bank and a good understanding of banking processes. Demonstrable experience of training, mentoring and coaching others in the use of applications. Ability to plan and manage own work to meet challenging deadlines with minimal supervision. Desirable A good understanding of core mathematical and statistical concepts. A good understanding of, and experience of applying, project management principles and approaches like waterfall and agile. Experience of working in an organisation that has rolled out self-serve analytics tooling at enterprise level. Knowledge of emerging trends and issues within the Data Analytics and Data Science landscapes. Experience working with cloud environments & components (e.g. AWS, Azure). ## Description We are looking for a Data Analyst (Assistant Vice President) to join the Data Analytics Team. This role will play a key role in designing and delivering reporting and analytics products at the proof of concept stage whilst also supporting delivery items periodically This role will operate as part of the Enablement Workstream and will work closely with Business Analysts who will lead primary stakeholder engagement and requirements definition. The focus of this role is on translating well-formed business requirements into proof of concept designs through strong engagement with technical and delivery teams. The role will be responsible for the end-to-end technical coordination and development of analytics products, ensuring work is appropriately planned, prioritised, and delivered to agreed standards. Accountabilities & Responsibilities: Prepare and transform data for use in analytics products using appropriate tooling and techniques. Deliver new analytics products using best practice data analysis and data visualisation techniques to translate complex data into insightful reports and interactive dashboards. Run proofs-of-concept to evaluate feasibility and value, uncovering benefits for our stakeholders, customers, and businesses. Support the rollout and adoption of reporting and analytics products. This includes providing in-house coaching support and training for users and product owners. Coordinate closely with Business Analysts to ensure agreed delivery processes are followed and that analytics development progresses as planned and remains aligned to approved requirements. Ensure sufficient and appropriate documentation is produced to quality-assure analytics development and support ongoing maintenance. Collaborate with a range of technical and non-technical audiences to quality assure delivery of analytics products through development and UAT. The successful candidate will bring strong experience in MI / BI delivery, with hands-on knowledge of Power BI and SQL-based reporting solutions, with knowledge of banking processes a preference. While not acting as the primary interface to business stakeholders, the role will ensure business intent as defined by the BA is correctly interpreted and implemented by technical teams. This position requires a highly organised individual with strong delivery ownership, able to manage multiple work items in parallel and ensure analytics products are delivered end-to-end, from build through testing and release. You will be confident in working within technical environments, proactively resolving delivery issues, and positively challenging design or implementation approaches where needed to maintain quality and value. If you enjoy turning clear requirements into well-executed analytics solutions and working closely with technical teams to drive delivery at scale, this role offers the opportunity to make a meaningful impact across the portfolio. Business Area The EMEA Data Office was established in October 2021. It sits within EMEA Operations in the Operations Planning Department (OPPD), covering all EMEA entities (including Securities and Banking subsidiaries) and all datasets. The Data Office is responsible for defining and implementing the EMEA Data Strategy, building out its data management capabilities, and focusing on how we exploit data more effectively and innovatively across SMBC. We have been formed to really drive data-led transformation through the bank. As part of this work, the EMEA Data Office has established a new framework which encompasses cultural, behavioural, procedural, and system transformation to deliver the new strategy. This initially focused on good governance through improved Data Architecture, Data Management and Data Quality, but as the foundations are established, we are focusing more on how we can use Data to drive new ways of working and improved business outcomes. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)