Overview

As an Engineer – Customer Complaint Data Integration you’ll conduct Quality Data Integration projects/activities in terms of data availability, accessibility and Integrity. You’ll also prepare and assemble Quality data into uniform sets ready to be used for standardized reporting as well as ad-hoc analysis.
PMI Customer Complaint management process is relying on various and complex transactional systems. All of them are offering access to data and your activities will reinforce data availability, accessibility and integrity and ensure exploitability of data of interest. You will coach internal stakeholders enabling them to understand the relationship between their functional requirements and the data integration requirements. You will support and participate in Process Integration projects.

Responsibilities:


- Conduct activities related to the integration of Quality data across various sources into an organized and unified view in collaboration with IT
- Implement all aspects of the process to maintain Data Flow, ensuring alignment with company standards and environment
- Ensure data accuracy and resolve data issues post integration activities
- Analyze & translate data requirements, identify potential commonalities, coordinate corresponding changes in data warehouses and prioritize them
- Closely collaborate with IT developers to make sure that data retrieval meets business and reporting requirements
- Be responsible for the exploitability of the datasets related to Customer Complaint
- Ensure that data is harmonized, grouped & aggregated to cover any specific reporting and analytics needs
- Monitor and challenge data quality and identify inefficiencies in data warehouses aiming to leaner solutions
- Assist stakeholders with data-related technical issues and support their data infrastructure needs
- Implement adequate processes to ensure the preservation of information of a confidential nature

Required Qualifications:


- College/University degree in Computer Science, Data Science or Computer Engineering
- Demonstrated ability in Business Intelligence or Data Science involving structuring of sophisticated data & datasets
- Master SQL language. Knowledge of Mulesoft and MQTT Broker technologies would be an asset
- Experience in verifying, comparing and analyzing data
- Experience in dealing with external vendors and third parties
- Collaboration, Agility, Problem solving skill and Entrepreneurship
- Strong analytical skills, with a demonstrated ability to learn on the fly
- Great attention to detail and natural willingness to challenge the status-quo
- Ability to deal with ambiguity
- Proficiency in English, both oral and written