Data Analyst
Data Analyst joining Allianz's Underwriting Technical Transformation team in the Health Insurance line, building and maintaining production-grade ETL data pipelines and Power BI reporting to support underwriting and pricing analytics. Core stack: Python, SQL, Git, CI/CD, Power BI. Based in Dublin, London (Bishopsgate), or Munich.
- Compensation
- Not disclosed
- Location
- Croydon, ENG, GB, CR9 6HD
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor or above in a quantitative discipline (e.g. Mathematics, Computer Science) from a top tier university
- Minimum 3 years of relevant experience in data analysis
- Hands-on experience writing maintainable and testable production-grade Python in a collaborative approach
- Strong proficiency with SQL and SQL optimization
- Experience with Git version control and CI/CD practices
- Experience with data visualization tools (e.g. Power BI)
- Excellent analytical skills, able to understand complex data structures and translate data into actionable insights
- Ability to work independently with little guidance and direction
- High attention to detail with commitment to accuracy
- Excellent communication and collaboration skills with cross-functional stakeholders
- Proactive mindset with a passion for driving change and innovation through data
Nice to have
- Experience in the insurance or healthcare sector
- VBA skills
Full description
Locations- Dublin, London (Bishopsgate), MunichAbout the role
We are seeking a highly skilled and motivated Data Analyst to join our dynamic Underwriting Technical Transformation team within the Health Insurance Line of business. This role offers a unique opportunity to be at the forefront of driving innovation and data-driven decision-making in underwriting and pricing.
As a Data Analyst, you will play a pivotal role in shaping our centralized data analytics function, which supports technical areas such as underwriting, pricing, and commercial. You will work collaboratively with cross-functional teams, including Data Science, Data Program, Portfolio Monitoring, Pricing and Underwriting, to design, build and implement robust data pipelines in order to deliver actionable insights that enhance business performance and customer outcomes.
What you will do
- Support and participate in the build and delivery of a clear roadmap for the creation and modernization of a robust data environment aimed at ensuring commercial and strategic success for the business
- Technically support the design, construction and maintenance of data for the business
- Understand and implement database and data engineering concepts and terminology, design principles and elements in order to deliver data and analytics
- Build and maintain production-grade data pipelines in order to automate data extraction, transformation, and loading (ETL) processes
- Coordination of data projects with different levels of complexity depending on existing methods, processes and tools
- Collaborate and engage with Data Program and Data Science teams to support the creation, maintenance and enhancement of reports, tools, datasets and dashboards to facilitate analysis and ongoing review of KPIs, e.g. leveraging Power BI
- Understand the data relationships that exist between the business processes and systems. In turn apply this knowledge when interpreting the information requirements from the business
- Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization in pricing & underwriting processes.
- Deliver data outputs into a format for presentation to senior management
- Gather, interpret, identify gaps and translate business MI and reporting requirements into solutions
- Manages and coordinates stakeholders and builds a robust communication structure for data-related projects
- Advises stakeholders and actively clarifies their expectations and requirements
- Ability to assume responsibility for change, communication, quality and risk management