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Senior IT Data Business Analyst – Bratislava, hybrid role
Driving data strategy in insurance & energy sectors with data modeling, analytics & AI tools.
Are you a technology fan impressed by aircrafts and ships, or fascinated by nature and agriculture? Do you want to be part of the energy transition to renewables, or see yourself as a cyber guardian? If your answer is yes, we invite you to explore this exciting opportunity! We're working across all these innovative domains, and our dynamic team is growing!
About the Role
In this pivotal position, you'll drive requirement engineering and quality assurance for our sophisticated data tools and platforms. We're looking for someone with an entrepreneurial spirit, pragmatic hands-on mindset, and an intellectually curious approach to problem-solving.
Key Responsibilities
- Collaborate with Product Managers to collect, maintain, and understand business requirements
- Translate complex business terminology into technical language and vice versa
- Create clear, concise requirements and acceptance criteria that are unambiguous, complete, consistent, and verifiable
- Master data models and their business context through deep understanding
- Own the end-to-end data cycle process with accountability and precision
- Transform raw data into actionable reports and visualizations that meet business goals
- Analyze data proactively to identify problems, answer key questions, and develop quantitative and qualitative insights
About the Team
If tackling complex challenges across diverse industries excites you, then our innovative team is the perfect fit. We stand at the forefront of creating ingenious solutions through collaborative approaches.
Our team serves as an empowered tech counterpart for business units, responsible for designing and implementing inventive data projects. We develop cutting-edge analytics capabilities and enhance Swiss Re's risk assessment frameworks.
Joining us means learning not just how insurance premiums are modelled and how data analytics enriches business operations, but also improving your stakeholder management skills, agile development practices, and proficiency with tools that drive impactful projects.
About You
We're seeking enthusiastic professionals who can be effective leaders with strong functional and operational expertise. You should be an excellent communicator capable of building trust-based relationships within your squad and among partners.
We are looking for candidates who meet these requirements
- Proven experience with business analysis and requirements engineering
- Strong analytical and problem-solving skills with meticulous attention to detail
- Knowledge of tools and techniques needed for data analysis and management
- Ability to validate data accuracy and troubleshoot reporting issues
- Experience analyzing large datasets and identifying actionable insights
- Excellent written and verbal communication skills; ability to articulate complex technical issues to non-technical audiences
- Ability to work with tight deadlines, prioritize effectively, and adapt to changing organizational objectives
- Confidence in presenting applications/demos to internal and external stakeholders
- Exposure to agile development approaches (e.g., Scrum) and familiarity with tools like Azure DevOps or Confluence
- Business fluency in English
These are additional nice to haves
- Experience in the Re-/Insurance industry
- Ability to identify strengths and weaknesses in business processes and suggest areas for improvement
- Knowledge of data visualization tools and techniques
- Experience with data governance and quality management
- Background in stakeholder management across different organizational levels
- Leadership /people management experience
For Slovakia the base salary range for this position is between EUR 3,200 and EUR 5,300 per month (for a full-time role). The specific salary offered considers:
the requirements, scope, complexity and responsibilities of the role,
the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.
In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.
Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.
#LI-Hybrid
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
The companies in our field use artificial intelligence and machine learning-based technology to handle and assess large amounts of data. With this approach, applications and services are continuously monitored for discriminatory or exclusionary patterns. The ability to access personal data to ensure quality and transforming business processes for improved customer experience = lead to benefits. We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying. Keywords: Reference Code: 138611