Analytics Engineer enabling data - driven decisions across clinical and operational functions at QualDerm Partners. Responsible for data collection, analysis, visualization, and stakeholder collaboration.
About the role
- Underwriting Product Engineer building analytical applications for data-driven decision making at Swiss Re. Collaborating with underwriters and AI/ML engineers to transform complex data into insights.
Responsibilities
- Engineer and develop high-performance analytical applications, dashboards, and components that serve underwriters and steering teams
- Write clean, efficient code that supports real-time, high-trust insight delivery across our organization
- Implement robust standards for version control, testing, and documentation for all work products
- Collaborate closely with product managers to translate business requirements into working features
- Partner with AI/ML engineers and data architects to ensure infrastructure compatibility and downstream usability
- Align with the Stargate data platform and adhere to shared development patterns
- Support testing and monitoring of deployed tools to ensure reliability and performance
- Document code and logic clearly to ensure auditability and team-wide understanding
- Participate actively in code reviews, design discussions, and architectural evolution of the analytics stack
Requirements
- Master's degree in Computer Science, Data Science, or other rigorous technical discipline
- 5+ years of experience building data-driven applications, dashboards, or analytical tooling
- Proficiency in programming languages such as Python, SQL, JavaScript, TypeScript, or R
- Experience with frontend frameworks (e.g., React, Plotly, Dash)
- Strong understanding of software engineering principles including version control (Git), modularity, and testing
- Familiarity with cloud platforms (e.g., Azure, GCP, Snowflake, or Palantir)
- Experience working with large datasets and integrating with data pipelines
- Knowledge of insurance or financial services industry
- Experience in agile development environments
- Background in data visualization best practices
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Digital Analytics Engineer driving modernization of site analytics and data layer for multi - brand ecommerce. Architecting a unified measurement foundation and collaborating with various stakeholders across the organization.
SAP Analytics Developer managing and delivering SAP BW/BI solutions for Niterra. Collaborating with stakeholders to optimize business intelligence and data warehousing capabilities.
Analytics Engineer responsible for data consolidation and maintenance, supporting reporting and dashboards at Brilliant Corners for vulnerable populations.
ETL Developer maintaining data pipelines and supporting data quality for IMT Insurance. Collaborating with the data team and learning ETL tools under guidance.
Analytics Engineer creating scalable data models to support multiple products at Marshmallow. Collaborating across teams to enhance data - driven decision - making and optimize product offerings.
Analytics Engineer working in fintech, focusing on data modeling, SQL, and Power BI for strategic decisions. Engaging in high transaction volume environments with hybrid workspace setup.
Data Engineer transforming raw data into well - modelled datasets for decision - making at Blink. Collaborating with BI team to optimize and maintain data infrastructure.
Analytics Engineer responsible for transforming raw data and building robust data models. Collaborating with stakeholders to enable data analysis and directly impact decision - making processes.
Data - driven Operations Engineer at Octopus Energy Germany, optimizing processes using data insights. Collaborate with teams for sustainable energy solutions.