Part of an energetic and dynamic IT Data Team. Delivering data with speed and at scale. As part of the global data community, you will work within multi-disciplinary agile squads working alongside some of the best Product Managers, BI Specialists, Data Engineers and Data Scientists. IT Data is responsible for ensuring engineering excellence in the delivery of data products and solutions. As an enthusiastic Data Specialist, you will advocate data practices through strong technical expertise. You will help internal teams transform from conventional practices to data-driven approach, while uncovering valuable insights. This role offers an excellent opportunity to gain comprehensive understanding across business functions from Subject Matter Experts, while growing within the Data Analytics space. RESPONSIBILITIES As a Data Specialist, you will work in multi-disciplinary squads delivering data products and solutions. • Support Product Managers in facilitating discovery sessions and gathering business requirements. • Document data and process flows, while identifying opportunities for improvement. • Identify data sources and enhance data collection to reduce manual processes. • Analyse and visualize data from various sources to support data-driven decision making. • Monitor and ensure the accuracy, consistency, and reliability of data used in analytics and reporting. • Writing clear user stories and acceptance criteria for product delivery. • Identify opportunities for process automation and simplifying data flows. • Advocate for process improvements and Agile ways of working across teams. • Respond to data requests and provide analytical support to business teams as needed. QUALIFICATIONS • Degree in Computer Science, Information Technology or related STEM field. • Minimum of 2 years of proven experience in the domain of data analytics. • Strong analytical, problem-solving, and critical thinking skills • Effective communication and stakeholder management abilities • Proven experience with Tableau for analytics and data visualisation. • Hands-on experience with SQL, Python or PySpark. • Good understanding of data modelling, data architecture, and data governance concepts. • Experience working with cloud platforms, preferably Google. • Familiarity with project management tools, ie Jira & Confluence. • Knowledge in Power Platform is a significant plus but not mandatory. Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity. At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas.

Data Specialist.

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