Data Quality Expert

il y a 3 semaines

SaintOuen, Île-de-France Allianz Temps plein

The Data Quality Specialist plays a pivotal role in unlocking the power of our data.  He/She collaborates with key stakeholders across the organization to gather their needs, then dive deep into various data sources to extract valuable insights that inform business decisions across all LoBs and Business Functions.



Main Responsibilities:


  • Handle and model large datasets, solve complex problems, and answer critical business questions through data analysis.
  • Develop strategies to identify, acquire, and utilize the right data sets to create solutions and support informed decision-making.
  • Design and execute data quality checks and audits to identify inconsistencies and errors in data sets.
  • Craft clear and insightful visualizations to effectively communicate your findings and translate data into actionable recommendations.
  • Extract, integrate, and manipulate data to build data pipelines, automate reports and dashboards, and empower internal stakeholders with self-service tools.
  • Own, design, develop, document, and manage scalable solutions for key metrics, reports, analyses, and dashboards that drive business success.
  • Develop queries and data visualizations to fulfill ad hoc requests, recurring reports, troubleshooting needs, and ongoing projects.
  • Apply data mining, modeling, warehousing, and other analytical techniques to develop and manage customer segmentation and predictive models that fuel business growth.
  • Work closely with Lines of Business (LOBs) and Business Units (BUs) to understand their analytical needs, identify critical metrics/KPIs, and deliver actionable insights to Data/Business owners.
  • Collect, merge, and clean data from diverse sources to prepare data for the Allianz Data Platform.


Monitoring Critical Data Elements (CDEs):


  • Develop and implement automated processes to monitor the quality of CDEs in real-time (or near real-time). This could involve setting up thresholds and alerts for metrics like data completeness, accuracy, consistency, and timeliness.
  • Regularly analyze trends in CDE quality metrics to identify potential issues and proactively address them before they impact downstream processes.
  • Investigate and troubleshoot root causes of CDE quality issues, working with data owners and stakeholders to resolve them.


Data Profiling:


  • Conduct data profiling exercises on new and existing data sets to understand their structure, content, and quality characteristics. This includes analyzing data types, value distributions, presence of missing values, outliers, and potential inconsistencies.
  • Use data profiling insights to define data quality rules and identify potential areas of risk or non-compliance with regulations.
  • Leverage data profiling techniques to identify hidden patterns, trends, and relationships within the data that can be used to improve business processes and inform decision making.


We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.



At Allianz, we care for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.



We are an equal opportunity employer and we encourage you to apply.



We look forward to hearing from you.



Carefully crafted by Allianz Group, one of the most trusted insurance and asset management companies in the world.

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