Operations Specialist ( Data Quality Management - 2 )

Role Description

Were looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. Thats why we are Investors for a new now.

Within the COO Division Data Management is responsible for designing and driving the execution of the data strategy at Group and Divisional/functional level as well as coordinating adherence to Data related processes and policies and any applicable local regulations.

Your key responsibilities

As a Data Quality Management Specialist you will

• Support the execution of the DWS Data Quality Strategy, ensuring adequate data quality controls so that data can effectively support business processes
• Applying technical analytics to facilitate Data Quality Management including data lineage and managing integration with data quality applications and process engineering (including automation)
• Working collaboratively with teams across Data Quality Management and Data Governance to provide data-driven solutions to support data processing is in line with DWSs Data Management framework
• Coordinate with internal teams to understand user requirements and provide technical solutions to improve existing process flows and systems
• Assess and prioritize feature requests, test and debug programs
• Applying problem solving skills to improve Data Quality Management including process engineering (including automation)
• Assess and prioritize feature requests, testing and debugging programs in line with Data Quality Management frameworks
• Utilising advanced data analysis skills to analyse, profile, and shape data to to improve Data Quality Management including process engineering (including automation)

Your skills and experience

• Demonstrable experience in applying technical analysis to support Data Quality Management concepts
• Excellent analytical skills utilising tools such as SQL/ Python/ MATLAB/Visual Basic with experience of creating reports and dealing with large volumes of data
• Extensive technical expertise of managing data (and processes) in a global enterprise environment with an understanding of database and schema design
• Strong working knowledge of industry best practice associated to data quality such as DAMA, DCAM
• Strong conceptual and problem-solving skills, with an ability to develop creative and structured solutions
• Degree educated in a technical related discipline such as finance, computer science or engineering.