Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.
With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.
Job Summary
We’re looking for a seasoned data professional to join our team as a Senior Data Solutions Analyst. In this role, you’ll bridge the gap between complex business needs and technical solutions, with a strong focus on data delivery across the reinsurance domain.
You’ll help design and implement modern, scalable data solutions using platforms such as Snowflake.
This position is Hybrid in Dublin - Ireland.
Note: All applications/CV’s must be submitted in English.
Key Responsibilities
- Gather, analyse, and translate complex business requirements into clear technical specifications, working with stakeholders across reinsurance and actuarial teams.
- Data Architecture & Modeling
- Partner with data engineers to design efficient and scalable data models and pipelines that ensure accuracy, consistency, and performance.
- Support the end-to-end process: design, development, and deployment of data-driven solutions such as ETL processes, data marts, and reporting dashboards.
- Develop strong relationships with business users, translating technical details into actionable insights and business-friendly language.
- Data Troubleshooting & Optimisation
- Identify and resolve data-related issues using advanced SQL and analytical techniques. Ensure data integrity and support continuous improvement efforts.
Requirements for the role
- Bachelor’s degree (or equivalent) in Computer Science, Data Science, or a related field
- 5+ years of experience in data analysis, data modelling, and solution delivery
- Strong understanding of reinsurance operations and data domains
- Prior experience working with actuarial teams or actuarial data
- Proficiency in SQL and business intelligence tools (e.g., Power BI, Business Objects)
- Experience with data warehousing and lakehouse architecture
- Familiarity with ETL tools and data integration concepts
- Excellent communication, documentation, and stakeholder management skills
- Fluent in English
- Must be a European citizen or have a work permit for DUBLIN
Preferred:
Experience with modern cloud data platforms, especially Snowflake and/or Data Virtuality
Exposure to data governance and metadata management
Background in actuarial science or reinsurance underwriting/claims analytics
What we offer at Keyrus Portugal:
- Competitive salary based on your skills & experience and according to the Data market practice
- Flexible benefits option
- Private Medical Insurance
- Annual leave (increasing every 3 years up to a maximum of 25 days)
- Training Program through KLX (Keyrus Learning Experience) Platform
Why Keyrus?
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on.
We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness.
Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here.
Join us in shaping a future where everyone can thrive!