Deskripsi Pekerjaan
Join Allianz's dynamic Technical Operations team as a Data Analyst for a 12-month contract opportunity. This role is pivotal in transforming raw data into actionable insights that drive operational efficiency and strategic decision-making. You'll collaborate with cross-functional teams to identify trends, monitor performance metrics, and deliver comprehensive reports that optimize business processes. Our ideal candidate thrives in fast-paced environments and possesses a passion for uncovering hidden data patterns. With access to cutting-edge analytics tools and mentorship from industry experts, you'll develop valuable skills while contributing to Allianz's global mission of delivering innovative insurance solutions. This contract position offers a unique platform to enhance your analytical capabilities within a Fortune Global 500 company.
Tanggung Jawab
- Analyze complex datasets to identify trends, patterns, and opportunities for operational improvement
- Develop and maintain automated reporting dashboards for Technical Operations KPIs
- Collaborate with IT teams to implement data collection frameworks and quality controls
- Present findings to stakeholders through compelling visualizations and executive summaries
- Support root cause analysis for system incidents through data-driven investigations
- Optimize data processing workflows to enhance reporting efficiency and accuracy
- Stay current with emerging analytics technologies and methodologies
Kualifikasi
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- 2+ years of experience in data analytics or business intelligence roles
- Proficiency in SQL, Python/R, and data visualization tools (Tableau/Power BI)
- Strong understanding of statistical analysis techniques and data modeling
- Experience with cloud platforms (AWS/Azure/GCP) and big data technologies
- Excellent problem-solving skills with attention to detail
- Effective communication abilities to translate technical insights for non-technical audiences
- Proven ability to manage multiple projects in deadline-driven environments