Data Governance Associate - Parametric at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Management, Data Profiling, Root Cause Analysis, Data Quality Dashboards, Collaboration, Data Quality Monitoring, Data Dictionaries, Data Quality Training, MS SQL, Data Management Tools, Data Analysis, Informatica, Collibra, Power BI, Tableau, Analytical Skills, Problem-Solving Skills

Industry

Financial Services

Description

Data Quality Management Define and implement data quality rules, metrics and thresholds within Data Governance policies. Conduct data profiling, quality assessments and root cause analysis on critical datasets. Develop and maintain data quality dashboards and reports to track key data health indicators. Collaborate with business and technical stakeholders to understand data quality issues & drive remediation efforts. Support the integration of data quality monitoring tools & maintain data quality issue logs and coordination resolution efforts with relevant teams. Document and maintain data dictionaries and business rules. Assist in data quality training and awareness initiatives across business units. Ensure compliance with internal data governance standards and external regulatory requirements. Support internal efforts to build out tools and processes related to Data Governance and Quality Skill set: MS SQL / Data management tools Bachelor's degree in Computer Science, Data analytics, or related field 4+ years of experience in reference data, data quality, data management and/or data analysis 1+ years of hands-on experience in Microsoft SQL Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, and uniqueness) Hands-on experience with data profiling and DQ tools such as Informatica or Collibra Must have strong professionalism and communication skills Displays excellent organization, time management, and planning skills Cross-functional collaboration with business and technology stakeholders Strong written and verbal communication skills; ability to deliver clear, effective communication and takes responsibility for understanding others Strong analytical and problem-solving skills with keen attention to detail Ability to understand business requirements and convert them into technological implementations Experience with reporting tools like Power BI, Tableau or similar Financial Industry experience Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize 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.

Responsibilities

Define and implement data quality rules and metrics within Data Governance policies. Collaborate with stakeholders to understand data quality issues and drive remediation efforts.