Data & Analytics Lead

Key Skills

Agile methodologies, Data Analysis, Data Analytics, Data Architecture, Data Governance, Database, English Proficiency

Job Description

About the Team

We are a young and highly engaged team fully committed to transforming cargo insurance by using data, technology, and risk-expertise. We believe that by augmenting underwriting, digitising our value chain, and simplifying access to insurance, we can address evolving risks in the logistics sector by offering solutions that meet the needs of clients and partners.

About the Role

To evolve our digital cargo proposition, we are looking for a Data & Analytics Lead eager to contribute to developing key analytics assets to enable a fully digital value proposition and our go-to-market approach according to our digital strategy. In your role you will be focussing on:

• Establishing our digital and analytics framework to generate customer, sales, and risk insights

• Advancing data-driven risk assessment methodologies to improve underwriting and risk services

• Further developing our underwriting, pricing and portfolio steering capabilities

Your Contribution

• Establish and maintain a systematic approach to identify, qualify, and target highly profitable risk segments to push sale of most profitable risk segment (sales analytics)

• Lead the development of models to improve risk assessment, pricing and costing for our product-mix in collaboration with data scientists, actuaries, and underwriters (dynamic pricing)

• Enable decision-making by using different internal and external data sources and available state-of-the-art data processing platform (portfolio steering)

• Expand/maintain our data architecture to establish a single-source-of-truth to ensure operability of our key assets enabling digital cargo insurance (analytics information architecture)

• Act as a business owner for our key digital assets according to our data governance policy and in collaboration with tech, legal, compliance specialists (data & analytics tool Landscape)

About You

Do you believe that insurance plays a key role in making the maritime and logistics ecosystem more resilient and substantial? Are you interested in contributing to transforming our value proposition towards a fully data-driven, and digital approach? You might be our ideal candidate if you have also ...

• University degree (Master's equivalent) data science, applied statistics, mathematics, engineering or in a relevant field

• 5 years of working experience in digital business, product, partnership development

• Fluent in English, any other language a plus

• Experience with developing data & analytics frameworks and/or complex digital capabilities to enable supply chain analytics, financial forecasting, predictive maintenance

• Knowledgeable in relevant quantitative, descriptive, predictive data analysis methodologies in order to collaborate with data scientists, actuaries, engineers

• Experience in developing information architecture, data management and governance

• Proven understanding of insurance legal boundaries to ensure feasibility of implementation

Soft Skills

• Passionate about people, data and technology

• Entrepreneurial, ambitious though realistic with a strong focus on execution

• Excellent communicator able to adapt communication to different audiences and situations

• Good listener, team-player, agile mind set, sensible about cultural differences

The minimum gross monthly base salary for this role is 3 200 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.

You can look forward to extra rewards and benefits including an attractive performance-based bonus.

This job offer is suitable for people who have been impacted by the invasion of Ukraine.

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.