Data Analyst, AS

Role Description

Today, markets face a whole new set of pressures but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change.

Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.

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.

As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, well give you the support and platform to develop new skills, make an impact and work alongside some of the industrys greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.

This is your chance to invest in your future.

The COO Division is a key enabler for DWS and is integral to the future success of the company by delivering world-class services across a set of key functions. It covers essential Technology and Operations capabilities, including our data programs and digital transformation. The COO aims to deliver a platform which is efficient, scalable, resilient and agile.

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.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy

Your key responsibilities

As a Data Quality (DQ) Management Specialist, you will

• Supporting the development of Python based technology platform, serving the DWS operations function and supporting the current legacy platform and processes.
• Improving and developing Python/Excel based end user applications.
• Implement the DQ profiling within the DQ tooling in with DQ framework.
• Responsible for day to day operating of DQ tooling, monitor and evaluate DQ Metrics
• Build applications to align with 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

• Excellent Python programming skills with experience of creating enterprise applications.
• Excellent analytical skills utilising tools such as SQL/MATLAB/Visual Basic with experience of dealing with large volumes of data
• Demonstrable experience in applying technical analysis to support Data Quality Management concepts
• 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.