Data & Analytics Expert
€3,300 – €5,400 / mth base salary
Posted 9 Oct 2026
Advertised as “Data & Analytics Expert (hybrid)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- Hybrid
| Base salary | €3,300 – €5,400 / mth |
|---|
Field of studyEconomics, Engineering, Quantitative Field, Statistics, STEM (or related)
Study levelMaster's
About the Team
The Enabling Advanced Analytics team is part of Business Operations and Enablement within P&C Re Operations. The team is responsible for developing and maintaining the P&C Re Operations analytics landscape, supporting functions such as Sales and Origination, Underwriting Operations, Technical Accounting & Claims Operations, Claims Management, In-force Management, and Client Audit.
We generate actionable business insights by applying advanced analytics, automation, and AI-driven solutions, and act as a bridge between business and IT.
About the Role
Looking for an experienced Data and Analytics Expert to solve high-priority and complex business problems using data-driven approaches, advanced analytics, machine learning, and AI. This role is based in Bratislava and will work closely with the Advanced Analytics Lead, team members, IT/D&T, and senior business stakeholders.
You will independently lead complex analytics initiatives end-to-end, shape analytical approaches and solution design, and help scale solutions from exploratory PoCs to robust, production-ready capabilities with measurable business impact. As an expert in the team, you will also provide technical guidance, challenge approaches constructively, and contribute to raising the overall analytics capability of the team.
Key Responsibilities
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Translate complex and sometimes ambiguous business needs into well-defined analytical problem statements, hypotheses, and scalable data-driven solutions.
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Lead the design and development of advanced analytics, machine learning, NLP, and Generative AI solutions, selecting appropriate methods based on the business problem and available data.
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Own end-to-end delivery of analytics solutions, from data exploration and PoC development through validation, production deployment, monitoring, and continuous improvement, working closely with business and IT/D&T teams.
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Identify data gaps, data quality issues, and opportunities to improve data collection and analytical readiness; work with relevant stakeholders to drive improvements.
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Lead a team of two data scientists/analysts
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Provide technical leadership and hands-on guidance to data scientists and analysts through solution reviews, methodological challenge, knowledge sharing, and mentoring.
About You
Technical Skills
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Master’s degree in a quantitative field (STEM, Economics, Statistics, Engineering, or similar).