Data Analyst @ Allianz Insurance
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Data Analyst at Allianz Insurance
In the Global Operations (COO) function, the Workforce Management department is your domain. You will oversee reporting and steering Workforce Management metrics to ensure effective volume management and achievement of service levels and performance KPIs.
As a Reports & Data Analyst, your role involves generating reports, analyzing data, and developing dashboards that provide actionable insights. You will collaborate with cross-functional teams, support strategic staffing plans, and document data processes.
Responsibilities
- Generate and maintain regular reports on performance indicators.
- Analyze data to identify trends and actionable insights.
- Develop dashboards and visualizations for clarity.
- Collaborate with teams for data accuracy and consistency.
- Support and implement data-driven strategies for operational efficiency.
- Assist with ad-hoc analysis for executive and senior management.
Requirements
- 2+ years of data analysis or reporting experience.
- Proficiency in Microsoft Excel, Power BI, and SQL.
- Strong data visualization and communication skills.
- Experience with databases and process systems.
- Ability to work in a global, multicultural environment.
- Fluency in English; Python programming preferred.
What We Offer
Allianz encourages personal and professional development through numerous courses and targeted programs in a global environment. We focus on employee wellbeing, offering flexible work-life balance initiatives within our Work Well programs.
Allianz Insurance is a trusted leader in insurance and asset management. We celebrate diversity and welcome candidates from all backgrounds.
Key skills/competency
- Data Analysis
- Reporting
- Workforce Management
- Dashboards
- SQL
- Power BI
- Excel
- Python
- Collaboration
- Strategic Planning
How to Get Hired at Allianz Insurance
🎯 Tips for Getting Hired
- Customize your resume: Highlight experiences in data analysis and reporting.
- Research Allianz Insurance: Learn about their mission and global impact.
- Emphasize technical tools: Include Excel, Power BI, SQL, and Python skills.
- Prepare for interviews: Practice explaining data insights clearly.