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- Are highly collaborative and enjoy building relationships with stakeholders from a diverse range of disciplines.
- Possess proven experience as a data and analytics 'translator' in either data platforms (data warehouses, data lakes and data ingestion), Business Intelligence/Analytics or Artificial Intelligence/Machine Learning
- You enjoy taking responsibility for delivery and working in a fast-paced organisation where change is a constant. Learning, evolving, adapting. When the data speaks, we listen.
- Responsible for developing clear, robust, and accurate data specific user stories and requirements.
- Conducting thorough data business analysis, including challenging perceptions and embedded thinking, to ensure that data requirements move the business forward and achieve outcomes.
- Facilitate workshops and deliver presentations to capture requirements and generate feedback.
- Act as an internal consultant, interpreting user requests and where appropriate, making suggestions for better/alternative ways of obtaining and presenting the required information.
- Create wireframes, mock-ups and POCs as part of the requirements process to validate needs and feasibility.
- Apply agile and lean practices into all aspects of your work, seeking to optimise flow and reduce wait time wherever possible.
- Agree business data definitions as part of the requirement process, that inform both the technical design and support the implementation of the data governance standards.
- Create data mapping artefacts, including definition of transformations required, to inform the design and build process.
- Become a trusted Data SME for the data subject areas and business domains in which you work.
- Work alongside data engineering to quickly address points of clarification, iterate requirements, and facilitate business engagement where necessary.
- Actively support the testing process, ensuring traceability of requirement to solution, and helping to co-ordinate and deliver user acceptance testing.
- Support Business Analysts in other parts of the business around data specific requirements analysis methods and practices.
- Adhere to the Company values at all times and encourage others to demonstrate these.
- Ensure compliance with company and other relevant standards/regulations at all times.
- A strong background in data requirement elicitation using agile practices, and broad understanding of data visualisation, data engineering and data governance.
- Experience of planning and facilitating workshops of varying size.
- Experience of influencing and managing stakeholders, with the ability to communicate key messages across multiple areas of the business.
- Experience of analytics platforms such as PowerBI, Tableau, Qliksense etc
- Experience in creating data user stories as part of agile delivery methods.
- Use of collaboration and agile software management tools such as Confluence, Azure DevOps, Jira.
- Good grounding in agile software change practices, ideally in a data function.
- Outcome focussed and results driven.
- Self-motivated and enthusiastic.
- Embrace, embeds and incorporates the Company values.
- Pro-active, and comfortable taking the initiative.
- Resilient and flexible with the ability to work iteratively.
- A positive attitude with a focus on how outcomes might be achieved.
- Focussed on improvement of processes and oneself.
- Desire to work in a fast-growing, fast-paced environment.
- Life-long learning – you have a drive to learn and continually develop your skills and abilities.
Business Data Analyst - Haywards Heath, United Kingdom - Eden Smith Group
Description
Job Description
Business Analyst - Data & Analytics
West Sussex or Manchester, hybrid with 1 day per week required in the office
£35,000 - £54,000 per annum basic salary
An exciting opportunity has arisen to join a well established, leading organisation in the Insurance and technology sector, renown for its outstanding working culture.
You will make a strong candidate if you:
Job Responsibilities:
Job Specific Competencies:
Experience required:
You will need to be: