64 Swiss Re Jobs

About the Role

As a Data & Analytics Product Lead (DPL) within our Data Office, you will play a pivotal role in the creation, development, and maintenance of cutting-edge analytical products. You will work closely with product owners and stakeholders to ensure our products meet business needs, transforming data into valuable insights.

The ideal candidate will be a data-driven professional with strong data engineering and analytical expertise, a proven history of leveraging data to support business decisions, and the ability to lead a team of analytical engineers. You will perform in-depth data analysis to understand source data and business requirements, ensuring the products align with analytical needs and deliver maximum business value.

Responsibilities

• Collaborate with Stakeholders: Work closely with product owners and business stakeholders to understand their analytical product requirements, ensuring alignment with strategic goals.
• Design and Develop Analytical Products: Create, develop, and maintain high-quality data pipeline and analytical products, ensuring they meet both functional and non-functional requirements.
• End-to-End Data Analysis: Conduct complex data analysis from source to target systems, defining the optimal solution design for analytical products.
• Ensure High Standards of Data Governance: Adhere to coding, data governance, and best practice standards to ensure the integrity, security, and scalability of analytical products.
• Drive Innovation: Foster a culture of continuous improvement and innovation, keeping up with the latest industry trends and technologies to enhance analytical capabilities.
• Adoption: Adopt a creative approach to enhance user access to and drive the adoption of analytical products that enable insights.

About You

We are looking for someone who has a strong foundation in data engineering and analytics. With a passion for data-driven solutions, you should be eager to share your technical knowledge and best practices with the team, encouraging innovation and improving processes.

Technical Skills

A degree in computer science or a related field, with a strong foundation in data engineering and analytics.

7+ years of experience in designing and developing data pipeline.

Proficiency in leading BI tools such as Power BI, Tableau, or QlikView for designing, developing, and deploying dashboards and reports.

Proven experience in leading an analytical team, guiding them through the end-to-end development process of analytical products and solutions.

Proficiency in data storytelling

Experience in creating KPIs, metrics, and data visualizations to simplify complex business problems.

Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)

Strong knowledge of SQL and Python.

Demonstrated strength in data modelling, ETL and storage/Data Lake development.

Experience with TypeScript/JavaScript/HTML/CSS.

Experience with Palantir Foundry (Beneficial)

Experience with predictive analytics and machine learning models (Beneficial)

Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus

Soft Skills

Experience in collaborating and working with global business stakeholders.

Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments

Able to lead the team, ensuring a collaborative environment where everyone feels valued and motivated to contribute their best.

Multi-tasking to prioritize, plan, and deliver synchronously

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