Data Quality Intermediate Analyst (C11)- Hybrid

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality  team. This role deals with most problems independently and has some latitude to solve complex problems.  Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices.  Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. 

Responsibilities:

• Review Full Suite - GENESIS Contract Match Exception (aka stubs) Daily & Monthly and investigate root cause of exceptions impacting regulatory reports.

• Propose appropriate strategic solution for contract match exceptions (aka stubs) and liaise with relevant groups to eliminate GENESIS data quality exceptions in the medium to long-term period.

• Follow through the delivery of strategic solution through proactive involvement and regular coordination with strategic solution owners, e.g. Change Management, DCRM (Issue Management Resolution) owners, etc.

• Identify tactical remediation of contract match exceptions (aka stubs) and coordinate with relevant stakeholders within limited timeframe to meet monthly KPI

• Manage and address data quality queries/issues on GENESIS production data through timely feedback to data users.

• Conduct second-level investigation on medium to complex data quality queries/issues on GENESIS production data and propose resolution path (both tactical and strategic)

• Escalate timely to appropriate resolver groups, e.g. technology teams, if data investigation requires expertise outside of the team, and follow through accordingly

Qualifications:

• 2-5 years’ Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred 

• Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)

• Strong analytical skills and attention to detail

• Working knowledge of Tableau (report consumer, developer, etc.)

• Demonstrated understanding of Database structures

• Flexible, team-oriented and have good interpersonal skills

• Ability to work independently and as part of a team

• Excellent written and verbal communication skills

• Intermediate English

Education:

• Bachelor's/University degree or equivalent experience

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems.  Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices.  Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. 

Responsibilities:

• Review Full Suite - GENESIS Contract Match Exception (aka stubs) Daily & Monthly and investigate root cause of exceptions impacting regulatory reports.

• Propose appropriate strategic solution for contract match exceptions (aka stubs) and liaise with relevant groups to eliminate GENESIS data quality exceptions in the medium to long-term period by working and coordinates with a multidisciplinary group of business leads, operations managers, and technologists

• Follow through the delivery of strategic solution through proactive involvement and regular coordination with strategic solution owners, e.g. Change Management, DCRM (Issue Management Resolution) owners, etc.

• Identify tactical remediation of contract match exceptions (aka stubs) and coordinate with relevant stakeholders within limited timeframe to meet monthly KPI

• Manage and address data quality queries/issues on GENESIS production data through timely feedback to data users.

• Escalate timely to appropriate resolver groups, e.g. technology teams, if data investigation requires expertise outside of the team, and follow through accordingly

• Applies professional judgment and attention to detail when interpreting data and results based on the analysis and storage of the information as part of risk and control minimum requirements

Qualifications:

• 2-5 years’ Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred 

• Advanced English level

• Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)

• Strong analytical skills and attention to detail

• Working knowledge of Collibra and other Data Governance industry standard tools

• Demonstrated understanding of Database structures

• Flexible, team-oriented and have good interpersonal skills

• Ability to work independently and as part of a team

• Excellent written and verbal communication skills

Education:

• Bachelor's/University degree finished or in progress

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