Data Quality Control Senior Analyst

ess processes; and mitigate risks caused by inaccurate, untimely, or incomplete WM data.

Within CDO, the WM Divisional Data Office manages Data Quality related issues, prioritizes key processes with data quality dependencies, identifies Critical Data Elements (CDEs) underpinning prioritized processes, and applies controls to ensure CDEs meet data quality standards.

Responsibilities

The Data Quality Control Senior Analyst will lead the day-to-day execution of the WM Data Quality Risk Reduction Roadmap, primarily managing implementation of data quality controls based on the WM Data Quality Standards, as well as tracking adherence to the Standards. This work will require solid technical understanding of how data flows between systems, assessment of existing data quality controls, managing onboarding of data quality control results to Central Data Quality Store, lead fit-for-purpose data quality control implementation by effectively partnering with WM Business and Technology partners. Additional responsibilities will include metrics production and reporting for the purposes of progress tracking, supporting efficient use of Data Quality Management Service (Centralized Data Quality Control Platform for WM), identifying improvement areas in WM Data Quality Control Standards and its implementation, and updates to both the WM and Firmwide Data Quality Governance Committees.
In addition to the above, the Data Quality Control Senior Analyst will oversee the work of one direct report.

Skills Required

• 4-8 years of experience in financial services and/or multi-national company

• Bachelor's or higher degree in Business field with technical background or vice versa

• Strong written and verbal communication skills and ability to lead effective meetings (English)

• Highly motivated, self-starter with a clear ownership mindset and ability to appropriately challenge assumptions

• Strong organizational skills, attention to detail, and proven track record of project prioritization, execution and risk management

• Sound judgment and ability to escalate project risks and issues

• Experience with data pipelines or writing SQL or managing data projects

• Strong relationship management skills in order to successfully coordinate across various Business and Technology functions and partners

• Team player who is results oriented, self-motivated, and able to act on own initiative; able to lead and influence without direct authority

• Robust problem-solving skills and strong work ethic

• Ability to clearly present ideas and project status to business stakeholders

• Experience in data analysis and report building

Preferred Qualifications

• Experience with data catalog system (e.g. Collibra)

• Experience defining and implementing data quality controls

• Experience managing direct reports

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

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