Analytics Engineer (Hybrid; m/f/x/d; 80-100%)

About the Role 

The Analytical Engineer role is a member of the Data Office team, focused on optimizing data pipeline of the company-wide Single Version of Truth (SVoT) along with delivering front end analytical solutions leveraging the SVoT. As a data expert, the ideal candidate will have strong data analytical skills, with a clear passion for engineering, development and extracting value from data.

In this role, you’ll have the opportunity to go beyond standard development by engaging in thoughtful analysis to understand the underlying source data and business logic. Your insights and creativity will play a key role in transforming data to meet the unique needs of our Analytical Products, supporting a flexible and dynamic approach to problem-solving.

Within CorSo, we support multiple Lines of Business (LOB). This role will predominantly focus on the Data and Analytics needs of our North America Accident and Health LOB.

Responsibilities 

• Collaborate with your users and stakeholders, understanding their data needs, finding innovative ways to leverage data in their daily processes and inform data-led decisions.

• Perform complex end-to_end data analysis to define the target solution design for Analytical Products and our Single Version of Truth (SVoT).

• Deliver and maintain optimal data pipeline architecture to assemble large, complex datasets that meet functional / non-functional business requirements.

• Collaborate with other members of the Data Office, including data architects, data analysts, data engineers, analytics engineers and data scientists.

• From business analysis and data modelling to data quality assurance, on a major global program in the Commercial Insurance sector in a fast-moving Agile environment.

About You

We are looking for someone with a solid foundation in data engineering and analytics. Coupled with a passion for data-driven solutions, you are excited to share your technical expertise and best practices with the team, fostering innovation and enhancing processes. 

Technical skills

• University degree in data science, statistics, computer science, physics or equivalent area of studies, with a strong foundation in data engineering and analytics.

• Knowledge of analytical programming languages (such as SQL, Python, R) is essential, with preference for PySpark. Familiarity with JavaScript or related language is a plus.

• Experience with data visualization and business intelligence tools (such as Power BI and Tableau) is a must.

• Experience in developing data pipelines in distributed architectures, especially with Spark, is beneficial.

• Experience with Palantir Foundry is a plus.

• Theoretical and practical understanding of advanced statistical modelling, machine learning, and artificial intelligence is beneficial.

Soft skills

• Experience in collaborating and working with global business stakeholders. Ability to communicate your understanding of requirements and objectives. 

• Desire to understand detailed requirements and facilitate the process of analyzing solution options.

• (Re-) Insurance industry experience is a plus, especially in Underwriting or Actuarial domains.

• Experience building data-related solutions and applications. Including the design, development, unit testing, deployment and change management practices (Agile code management, sprints, continuous integration)

• Excellent command of English is a must. Other languages like Spanish or German are beneficial.