Workplace Data Analyst_670

Job description

About the Job 

Are you passionate about data analysis and want to contribute to enhancing user experience at Allianz? Join our team as a Senior Data Analyst in the Workplace Service department, where you will play a key role in transforming data into valuable insights that guide our decisions. If you have experience in data analytics and are looking for a collaborative environment, we want to meet you

What you do

• Transform & enrich data from various data sources to draw a holistic view of service health, possible issues & weak points.
• Using statistical libraries and programming to identify, analyse, and interpret patterns and trends in complex data sets.
• Respond to data-related queries from other WPS product teams & implement them jointly.
• Analyze data and visualize results using Power BI and similar technologies.
• Research new ways to make use of the collected data (e.g., apply AI for pattern recognition).
• Produce reports and charts communicating trends within data to non-specialists..
• Support product teams for the root cause & impact analysis during incident and problem management process.
• Ideate data analytics requirements together with other WPS teams with various maturity in the data analytics area.
  
  
  

 What you bring

• At least 3 years of practical experience within data analytics with hands on experience with python.
• Good understanding of modern software design and development technologies, such as data lake, containers, DevOps and knowledge of cloud services such as Azure, AWS or similar.
• Strong analytical skills with ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Technical expertise, previous experience working with data models, data mining, prediction models, and segmentation techniques.
• Strong knowledge of and experience with data storage (SQL, cloud storage etc), programming (python, SQL, PySpark etc.) and BI tools (Power BI etc.).
• Strong knowledge of statistics and applying statistical packages for analysing datasets.
• Good interpersonal and collaboration skills as well as ability to jointly work with multiple groups.
• Hands on experience in creating and deploying analytical dashboard solutions including understanding of design, development, deployment, data engineering and data management practices.
• Higher education degree in IT, business intelligence, or comparable education.

What we offer

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.