Data Management Specialist
Dublin
2
Negotiable
Ref: E18525SD
Job Description
My Financial Services client is looking for an experienced Data Management Specialist to join their growing team to be part of the design and delivery of the company data strategy.
Job Responsibilities
- Work as part of a growing team which is focused on implementing and managing client and operational data across the business
- Operate closely with all business areas and stakeholders, to implement modern technology solutions and take responsibility to ensure we optimize the integration, management and security of data across company platform
- Partner with various internal business and technology stakeholders, combined with external business and technology providers, to integrate varied sources of data across the organisation
- Work alongside the wider team to agree areas of focus and improvement, which will enable better insight, segmentation and inform the senior leadership team.
Experience Required
- 5+ years relevant experience working in a data management role and including exposure to solutions built on cloud platforms including Azure, Salesforce, APIM in addition to management of traditional database solutions (DBMS, SQL etc)
- Knowledge of leading Business intelligence suites such as MS Power BI/Tableau
- Experience of partnering with business stakeholders to understand and interpret their data reporting needs
- Appropriate knowledge of the risk control and regulatory environment
- Ability to work as part of a team but also independently
- Demonstrable proficiency in statistical data analysis and data visualisation
Essential and Desirable Skills
- Clear motivation to learn with a strong drive to succeed
- Quality focused approach
- Strong interpersonal and communication skills
- Ability to build and develop strong working relationships
- Inquisitive mind with a curiosity to improve ways of working
- Strong analytical thinker, with ability to problem solve
Educational Requirements
- Third level degree essential – preferably in the fields of engineering, computer science or data science