Top Data & Analytics Jobs

The Senior Actuarial Analyst will perform complex actuarial analyses, assist in pricing and financial modeling, and support actuarial accreditation efforts. This role requires data acquisition, statistical modeling, and effective communication across departments.

Lead design, development, and maintenance of Databricks-based curated data transformations and Tableau visualizations. Partner with business stakeholders to deliver enterprise BI, optimize performance, enforce governance and CI/CD, mentor juniors, and drive improvements to BI architecture, tooling, and reporting best practices.

Support LP Analyst's business strategy and client solutions by engaging in marketing efforts, conducting relationship development, and assisting in data analytics tasks.

The Business Analyst will gather requirements, analyze trading systems, document processes, and work with teams for high-quality solutions in a financial context.

Lead the optimization of CRM data management, leveraging AI and analytics to enhance data integrity, automate workflows, and derive actionable insights.

As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.

Lead the Data & ML Platform team, overseeing data engineering, real-time systems, and ML enablement, while building reliable, scalable data platforms and improving data architecture.

Support Investor Relations and External Communications by collecting, analyzing, and interpreting data to generate commercial insights. Collaborate with stakeholders to deliver analyses, present strategic recommendations to senior leadership, and work with international data and software teams to improve data systems and client relationship management.

Design and create engaging language assessment questions in German and Italian, collaborating with teams to manage projects and ensure quality content.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.