Data Modeler - IT

Data Modeler skillset requirements:

- 5+ years of professional experience as a Data Modeler.

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

- Experience in data modeling tools like Erwin, Visual Paradigm, ER Studio

- Experience in Dimensional data modeling, Entity Relationship (ER) data modeling.

Good experience with at least one cloud platform like AWS or GCP or Azure.

- Experience using Database platforms like Oracle, SQL Server, Teradata.

- Demonstrable knowledge of Data Management tools and techniques.

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

- Experience in working within large, complex, and geographically dispersed projects, including different time zones.

- Previous experience as a data analyst, solutions analyst, or architect including delivery of data artifact (e.g. data models, data flow diagrams, 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.

- Proven experience in managing and resolving complex issues using analytical and problem-solving skills.

- 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 verbal and written communication skills with strong ability to communicate virtually through conference calls and video conferencing.

- Strong leadership skills 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 a change.