Data Modeller - BFS

5-8 years of professional experience as a Data Modeller

- Conceptual model to aid understanding and input to Universal Data Model (UDM)

- Logical model to prepare development teams for delivering physical underlying structures

- Experience in ER modelling (Entity Relationship) and dimension modelling (star schema, snowflake schema)

- Experience in Financial Services and specifically within data domains/functions (e.g. Data Management, Data Architecture, Data Governance)

- Experience in Erwin, Collibra, Solidatus, IBM Infosphere, Alteryx, Manta.

- Demonstrable knowledge of Data Management tools and techniques

- Translation of business requirements into solution designs and functional requirements.

- Experience in eliciting, documenting, and verifying requirements for the use of data across the organization (Global Businesses and Global Functions) as appropriate to project scope.

- Previous experience in data analysis, solutions analysis or architecture including delivery of data artefacts in big data projects on prem or cloud. Eg. data models, data flow diagrams and metadata would be beneficial.

- Proven strength in conceptual and logical thinking, ability to abstract information, and look at the bigger picture.

- Proven analysis skills with the ability to challenge designs/decisions and exposure to agile methodologies.

- Experience in managing and resolving complex issues using proven analytical and problem-solving skills

- Experience in working within large, complex, and geographically dispersed projects (including across time zones)

- Ability to quickly get up to speed with the current data landscape and apply acquired analysis and data skills to new contexts and approaches

- Building relationships and networking, with high levels of motivation and collaboration

- Excellent spoken and written communication skills. A strong ability to communicate virtually e.g. conference calls and video conferencing

- Strong leadership and an ability to articulate, present and obtain approval for solutions at the right level for a wide audience (IT and Business)

- Strong planning, organization, and time management skills with a demonstrated ability to work to deadlines

- Commercial acumen and ability to apply this to Business and IT data requirements

- A track record of consistently looking for ways to do things better and a good understanding of the mechanism necessary to successfully implement change

- Self-awareness and the confidence to work independently