About the Role : Do you love working with data, connecting the dots and drawing conclusions based on facts where others are just guessing? Are you looking for an opportunity to make an impact and inspire change within a leading international organization? Then this might be the ideal job for you. We are looking for a creative problem solver who preferably has knowledge of IT Disaster recovery practices and related data. In this role, you will enable data-led reporting and help our teams make their Disaster Recovery management process faster and more accurate. As part of a diverse team of versatile professionals, you will help to cultivate data-driven decision making.
In your role, you will:
Acquire and aggregate data from primary and secondary data sources (structured & unstructured information).
Explore options to integrate data between systems, improve data ingestion and quality.
Support the building and maintenance of Data (Ontology) models.
Identify, analyze, and interpret trends or patterns within our data.
Monitor key performance indicators and generate insights on IT Continuity posture for stakeholders and management.
Develop and maintain data pipelines to foster data-driven decision-making.
About the Team : Sitting in the Group Technology Services division, the IT Continuity Team is a multinational team that aims to provide a one-stop shop offering well-rounded IT Service Continuity services. We develop and maintain IT Continuity, Resilience, and DR capabilities to mitigate the risk of unavailability and restore Critical IT Services in the event of a major disruption, enabling a prioritized recovery with minimal impact to Swiss Re's critical business processes. Our team ensures that these measures are effectively embedded within the organization and consider modern best-in-class operating models and tech environments (Cloud, SaaS, Dev(Sec)Ops, IaC).
Your qualifications : Nobody is perfect and meets 100% of our requirements. If you, however, meet some of the criteria below and are curious about the world of Data Management and Disaster Recovery, we'll be more than happy to meet you!
Must Have :
Demonstrated ability to analyze significant data volumes in a similar business field or domain.
Expertise in data models, database design development, data mining and segmentation techniques.
Proficient in SQL, at least one programming language (e.g., Python) and reporting/data visualization tools (e.g., Tableau/Power BI).
English Proficiency and good communication skills.
Nice to Have :
Cloud Literacy and a passion for Agile practices.
Experience in Data Hydration and Curation using the Palantir Foundry platform.
Ability to effectively communicate with both technical and non-technical audiences.
Ability to cultivate networks throughout an organization to gather support and build a foundation for a data-driven culture.
What can you look forward to?
Annual salary reviews and a performance-based bonus each year.
Hybrid setup, balancing between working from home and the office premises.
Constant opportunities for learning and enhancing your technical and interpersonal skills.
Great corporate benefits, including various product and service discounts.
Modern work environment with top-notch facilities as well as modern technologies to work with.
As much coffee (and fruit) as you need to go about your day.
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 14,000 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.
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