Senior Manager - Data Analyst
Contract (12+ months) Data Analytics Lead role in Dublin (hybrid, 1–2 days onsite weekly), driving a data transformation programme: shaping data strategy and roadmap and delivering data products as a business partner to C-suite stakeholders. Requires 10+ years in data & analytics, advanced Microsoft Office, and Agile/Waterfall delivery experience.
- Compensation
- Not disclosed
- Location
- Dublin, D, Ireland
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 5+ years experience in data & analytics in the assigned line business area
- 10+ years experience in data & analytics generally, including significant experience delivering data products
- Strong experience building relationships with a wide range of colleagues, up to C-suite
- Ability to explain complex analytical approaches to non-data colleagues
- Working knowledge of airline or functional business strategies
- Advanced proficiency in Microsoft Office suite (Project, Visio, Word, Excel, PowerPoint)
- Proven experience with iterative product delivery methodologies including Waterfall & Agile
- Excellent communication skills, effective up to Director and C-suite level
- Demonstrated leadership ability, emotional intelligence and influencing skills
- Ability to balance short-term results with a long-term transformation vision
- Initiative-taking, driven and pragmatic, focused on outcome delivery for business benefit
- Drive for continuous improvement and evolution
Full description
Job: Data Analyst Manager
Location: Dublin, Ireland
Role type: Contract
Term: 12 months+
Working type: 1-2 days onsite per week.
We are looking for a talented Data Analytics Lead for a large transformational project that will transform the organisation from a relatively closed and siloed organisation with respect to data into being one that gets maximum value from its data. From a data perspective this will be achieved by creating data products that improve decision making and by making data available to all that could reasonably want it, in a form that is easy to consume.
The Analytics Lead reports to the Programme Leadership and operates as a business partner to the C-suite and Directors in the assigned business area.
Required skills:
- 5 years+ experience in the use of data & analytics in the assign line business area
- 10 years+ experience in the use of data & analytics in general, including significant experience of delivering data products
- Strong demonstrable experience of building relationships across a wide range colleagues, up to C suite
- Ability to explain complex analytical approaches to colleagues without a data and analytics background
- Working knowledge of a variety of airline or functional business strategies
- Advanced level of proficiency in use of Microsoft Office suite Including Project, Visio, Word, Excel & PowerPoint
- Proven experience of working with iterative product delivery methodologies including Waterfall & Agile
- Initiative-taking, driven, pragmatic individual, completely focused on outcome delivery for business benefit
- Excellent communication skills, with ability to communicate effectively both internally and externally at levels up to Director and C Suite, and ability to make complex execution problems simple to the business. Must be capable of understanding and communicating the big picture."
- Demonstrated leadership ability and interpersonal skills; strong emotional intelligence and influencing skills
- Accustomed to balancing the need to focus on short-term results while delivering on a long-term vision that requires sustained transformation
- Confident initiative-taker who is assertive and focused with unquestionable ethics and integrity
- Can-do approach and thirst for driving continuous improvement and evolution
- Drive and determination to deliver outstanding results
- Enthusiastic, curious, energetic, and resilient in the face of a continuously changing landscape
Key responsibilities & duties include: Leadership
- Lead thinking in how to create the most value from data and analytics in the line department, forming that vision into an agreed strategy and roadmap