Job Purpose:
This job is an exciting and newly created role in the RD&I department. The Data, AI & Insights Analyst will play a key role in supporting the delivery of the organisations Innovation and R&D strategy through the application of advanced analytics, artificial intelligence, business intelligence and data-driven insight generation.
The successful candidate will act as a bridge between data analytics, AI innovation, client engagement and strategic value proposition development. Through extensive engagement with both internal and external stakeholders, the role will support evidence-based decision making through the development of dashboards, analytical tools, AI-enabled solutions and strategic insights that strengthen Ireland's competitiveness as a location for innovation, R&D, and wider transformation.
Key Tasks
AI & Digital Innovation
Develop AI-enabled tools, workflows, agents and automation solutions.
Leverage Generative AI technologies to generate insights, reports, content and decision-support outputs.
Identify opportunities to deploy AI across departmental processes and client engagement activities.
Support the responsible adoption of AI technologies, including governance, risk and ethical considerations.
Integrate and analyse internal and external datasets to identify trends, opportunities and investment signals.
Develop data models and analytical frameworks to support strategic decision making.
Data Governance & Quality
Promote data quality, consistency and governance across information sources.
Ensure compliance with organisational data management requirements.
Support best practice approaches to data management, analytics and AI deployment.
Strategic Insights & Value Proposition Development
Generate evidence-based insights to inform sector strategies and investment targeting.
Translate complex data into clear business recommendations and strategic narratives.
Support the development of client-facing value propositions highlighting Ireland's capabilities in innovation, R&D, AI and digital transformation.
Produce briefing materials, presentations and reports for senior management, committees and clients.
Stakeholder & Client Engagement
Work closely with client transformation departments, sector teams, overseas offices and corporate functions to identify analytical needs.
Work collaboratively with the Talent Development and Digitalisation (TDD) Team to support delivery of services to clients and generate insights from collective data.
Present findings and recommendations to internal and external stakeholders.
Support client engagements through the provision of data-driven insights and market intelligence.
Collaborate with government agencies, research organisations, academia and ecosystem stakeholders where required.
Continuous Improvement
Identify opportunities to improve processes using data, automation and AI.
Stay informed on emerging technologies, analytics platforms and AI developments.
Ensure dignity, respect and equality are applied throughout the organisation and that a work life balance in the workplace is supported as much as possible.
Ensure that continuous learning and development is undertaken through informal and formal learning and participation in the Performance Management and Development Review Process.
Ensure that values of People, Professionalism, Passion for Performance and Public Service are always upheld.
To demonstrate flexibility in undertaking additional tasks as may be assigned.
Additional Capability Requirements
Experience in Usage of Gen AI capabilities including LLM foundation models, RAG pipelines, agents and agentic AI solutions and workflows
Strong analytical, data modelling and problem-solving capability.
Experience working with multiple datasets and developing actionable insights.
Strong communication and presentation skills.
Ability to communicate technical findings to non-technical audiences.
Experience working collaboratively across teams and stakeholders
Key Competencies Required
Technical knowledge & hands on experience of GenAI solutions
Communication and Personal Effectiveness
Creativity and Innovation
Project Management
Knowledge of the Business
Networking
Additional Requirements
ü A relevant Level 8 third level business/science sector related degree recognised on the National Qualification Framework is essential. Note: A level 8 qualification (or higher) in Data Analytics, Computer Science, Business Analytics, Mathematics, Economics, Science or related discipline would be desirable.
ü Ability to analyse information from sectoral and public reports and translate into proposals for Stakeholders.
ü A full driving licence is essential.
ü Ability to work in a change environment is essential.
ü Flexibility to work outside of standard office hours when required.
ü Technical competence in the use of a variety of marketing design tools.
