Senior Data Analyst: Global Tech company
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| Job Type | Permanent full-time |
| Location | Dublin |
| Area | Dublin City Centre, IEDublin South, IE |
| Sector | 6 |
| Salary | €0.00 per annum |
| Start Date | ASAP |
| Job Ref | BBBH263_1506960709 |
| Job Views | 98 |
- Description
Senior Data Analyst: Global Tech Company, South Dublin
We have been retained by a global company to recruit a Senior Data Analyst for a Data Management team. As the Senior Data Analyst you'd be part of an innovate team, combining your data expertise with the management of stakeholder relationships. This is an excellent opportunity for someone with a passion for data and impeccable interpersonal skills to work in a high-profile role as part of an innovative team.
What you'll get to do:- Help to define Data Management strategies and drive the delivery of these.
- Be influential in the development of Data programs including Data Analytics and Data Delivery.
- Support the Management and implementation of Data Governance across the department.
- Provide key documentations for Data with clear definitions that are easy to understand.
- Ensure high quality standards are maintained and best practices are implemented though smart Management Information and business report creation.
- Represent your team at stakeholder meetings, acting as a key point of contact.
Here's what you need:- 5+ years of experience as a Data Scientist or Data Analyst.
- Experience in Data Modelling, Data Quality, Data Management or similar.
- Strong ability to manage relationships with stakeholders.
- Expertise in best practises and policies for Data including: Governance, Management, Quality, Usage and Architecture.
- Ability to prioritise tasks and problems in order to successfully delivery on expectations.
- Awareness of upcoming Data Protection policies and related challenges.
- A BSc or MA in a related discipline is an advantage.
For a confidential conversation, contact Garret today on 016768891
Keywords: Data Scientist, Data Analyst, Stakeholder Management, Data Governance, Data Quality, Data Usage, Data Architecture