3 jobs found

Job Title: BI Analyst (Fabric) Location: City of London (Hybrid 2 days a week) Salary: £60,000 - £70,000 DOE Purpose Reporting to the Head of Data Insight & Analytics, this role will support with the development and progression of business intelligence and insight capability. Sitting within the Data & Analytics team, this role will directly support the Private Wealth brands through building dashboards, insight tools and supporting key stakeholders, including the Private Wealth business heads, with data-driven decision making. The role would suit an experienced and driven individual who is looking for an opportunity to advance their understanding of data, working closely with business leaders to generate meaningful insight. Responsibilities Act as the subject matter expert (SME) for data analytics and visualisation to their Private Wealth brands (Partners Wealth Management, Amicus Wealth, Johnston Carmichael Wealth and their Private Client). Work closely with senior leadership, key stakeholders & data champions to draw together requirements, collaborate on data requests and gather feedback for improvement to support business goals. Draft, build, maintain and drive adoption of Power BI dashboards and other similar data products to a high standard. Collaborating with existing business SMEs, analyse and interpret data to support senior leadership with understanding trends, defining strategy and making business decisions. Own the rollout, training and continuous improvement of new and existing dashboards or data products - delivering training sessions when required. Track and enforce robust data quality standards, collaborating with the Data Governance and Infrastructure teams where necessary. Regularly communicate key updates on progress and future plans to stakeholders, joining relevant team meetings or producing ad-hoc email communications to support this. Work collaboratively and effectively within in a Data Analytics team to create, inform, and champion data and analytics best practices. About You 3-5 years' experience applying relational data modelling and data warehousing techniques, including the Kimball Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power BI Git CI / CD pipelines (Azure DevOps experience preferred) An understanding of the structure and purpose of the Financial Advice and Wealth Management markets within the UK Financial Services sector is highly advantageous. Knowledge of the Agile methodology would be beneficial. Skills/Other Relevant Information Excellent numerical skills are essential, enabling easy interpretation and analysis of large volumes of data. Experience with Python is highly beneficial and you may be expected to be able to use Python to leverage data from APIs into reports. Ability to analyse data - with an eye for attention to detail - and communicate your understanding to stakeholders to support with decision making processes. Ability to write concisely, cherry-picking key insights to deliver valuable intelligence. Confidence to work independently and efficiently on projects with business stakeholders. Strong written and verbal communications skills. Confident in the use of Excel for basic data manipulation and transformation. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

The job on offer The Data Management practice within the Insights and Data business unit of Capgemini is a global practice involved in a broad range of business and IT-focused topics from Information Strategy, Governance, Master Data Management, Data Architecture, Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of big data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants, putting client requirements and industry best practices at the heart of delivery Your role As a Technical Architect with a focus on data management, you will be working within the Data Management, Data Warehousing, Smart Analytics practices alongside some of the top experts in the country, on some of the largest and most complex client engagements across a variety of industry sectors. You will be; • Consulting, leading, and performance of analysis and design of large applications, and business processes re-engineering process required to support Data programmes • Contributing to the analysis of data management requirements, data integration, and performing complex data mapping activities • Defining and documenting technical design and architecture for Data Management solutions • Partnering with clients to gather a necessary understanding of business objectives and processes • Focussing on identifying the underlying data issues using the right Data Quality tools Your profile The right candidate for this role should have hands on experience with at least 2 more of the following: Data Management, Data Architecture, Data Migration, Master Data Modelling, Data Quality Management and Information Governance, experience in design and development of multiple large scale Data Management solutions. You will have experience on a number of data related projects. This needs to include significant experience of at least two of: data architecture design, ETL design, data mapping, data quality assessment and information governance and experienced in quality assurance of architecture / design deliverables and driving communication with key technical and business stakeholders. Why Capgemini is unique At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Capgemini offers the opportunity to shape your career path, based on your interests and ambitions. For example, if you want to become a 'People Manager' Connected Manager learning journey is there for you. If you want to become an 'Architect' our Global Architect Community offerings can help you get there. Get the future you want Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. Capgemini. Get The Future You Want. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 300,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

Job Introduction Are you looking for a role that builds on your experience with engineering data systems and brings hands-on experience with machine learning? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. The Content Publishing team's mission is to build unrivalled fully-accessible tools to enable journalists across the globe to create, curate and describe the world's best journalism content in over 40 languages. Our team is central to the success of the BBC. We are in the middle of solving some big questions: How do we put tagging at the heart of a personalised BBC? How can we use data to better understand what we make and how we make it, to build a more personalised and engaging experience for our audience? We're figuring out the answers to these questions and more like them, and we're looking for help. If any of these challenges excite you then come and join us. Role Responsibility We are looking for a Principal Data Engineer to lead engineering on projects that use data to improve content creation. Our projects include a machine learning system that suggests tags for pieces of content, and a knowledge graph that helps us connect and better understand the articles and programmes that we produce. We aim to build a world-leading suite of tools that use data to streamline the creation of relevant and personalised content. Our data engineers ensure the efficient running of pipelines that ingest, process and summarise data, and work closely with data scientists to develop machine learning models and put them into production. You will work in cross-functional teams alongside Product, Editorial, UX, Software Engineers, Data Scientists and other Data Engineers, and will mentor more junior colleagues. We value learning and create a supportive environment for people to follow their interests and develop personally and professionally, through structured training and on-the-job experience. As Principal, you will help to set the technical direction of the team, developing and representing our best practice. You will be a passionate and experienced engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: •Good communication skills - a great candidate will be able to talk to other developers, to non-developers, and is happy to communicate with people remotely across multiple BBC sites •The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be •An enthusiasm for writing clean, well-documented, and testable code •Curious and embraces change - we're always learning new technologies and requirements often change, you'll enjoy this challenge •Goal oriented - you'll enjoy finishing the job by developing the final details Are you the right candidate? You don't need you to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don't feel that you can't apply if you don't have all these skills. After all, you'll work with, and be mentored by, a friendly development team, and the BBC will provide many opportunities for learning as you progress. We look for experience of: Leading on technical projects Mentoring junior colleagues Communicating with technical and non-technical stakeholders Developing engineering best practice and advocating for it Developing software/data pipelines using Python, Scala, JavaScript or Go Machine learning, especially putting ML models into production Graph databases Cloud computing (preferably AWS) ETL technologies e.g. Apache Airflow Containerisation e.g. Docker / Kubernetes Infrastructure as code e.g. CDK CI/CD e.g. AWS CodePipeline or Jenkins Familiarity with Data Warehousing technologies (such as Redshift/Big Query/Snowflake) Software testing practices including unit testing frameworks Version control systems such as git Package Description Band: D Contract type: Permanent Location: London / Salford / Glasgow We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i