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About the Role
Part of an energetic and dynamic IT Data Team, delivering data with speed and at scale. Work within multi-disciplinary agile squads alongside 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. Advocate data practices through strong technical expertise, helping internal teams transform to a data-driven approach and uncover valuable insights. This role offers an excellent opportunity to gain comprehensive understanding across business functions while growing within the Data Analytics space.
Responsibilities
- 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.
- Analyze 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.
- Write 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.
Requirements
- 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 visualization.
- 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, e.g., Jira & Confluence.
- Knowledge in Power Platform is a significant plus but not mandatory.
Skills
- Data Analytics
- Tableau
- SQL
- Python
- PySpark
- Data Modelling
- Data Architecture
- Data Governance
- Cloud Platforms (Google)
- Jira
- Confluence
- Power Platform
Experience Level
- Minimum of 2 years of proven experience in the domain of data analytics.
Education Level
- Degree in Computer Science, Information Technology or related STEM field.
About the Company
- 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.
Equal Opportunity
- 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.