Data Quality Assurance Analyst

9NEXUS Limited; Greater London; Presencial; GBP 65 000 - 90 000; Tempo integral

Resumo da oferta

9NEXUS Limited is seeking a data-centric professional to develop and implement Data Quality rules using SQL and leading DQ tools. You will build Power BI dashboards, profile and reconcile data, and collaborate with data owners to define DQ KPIs.

The role emphasizes automation, AI-driven observability, and continuous monitoring across diverse data sources. The ideal candidate has strong experience in Data Quality, Governance, and Management, with hands-on Snowflake and SQL/T-SQL skills, and a

Qualificações

• Strong experience in Data Quality, Data Governance, and Data Management.
• Hands-on experience with Snowflake and advanced SQL/T-SQL.
• Strong Power BI development and dashboarding experience.
• Experience with Power Automate, Power Apps, or Data Flows.
• Experience with DQ/profiling tools such as Acceldata, Experian Aperture, Ataccama, Alteryx, Trillium, or SAS Viya.
• Strong ETL, data reconciliation, profiling, data analysis, and automation skills.
• Experience working with SAP MDG/ECC/S4 HANA is an advantage.
• Knowledge of Collibra/Talend, data lineage, governance, and compliance is desirable.
• Experience with AI-driven data observability or pattern detection is a plus.

Responsabilidades

• Develop and implement Data Quality rules using SQL and DQ tools.
• Build and support Power BI Data Quality dashboards using Snowflake data.
• Perform data profiling, analysis, reconciliation, and root cause analysis (RCA).
• Partner with Data Owners, Data Stewards, Business, and IT teams to define and implement DQ KPIs and monitoring solutions.
• Automate data quality monitoring, issue tracking, and reporting using Power Automate/Power Platform.
• Support AI/ML and AI Agent/Copilot use cases for data quality automation and pattern detection.
• Manage Data Quality incidents and establish continuous monitoring mechanisms.
• Support data matching/linking across multiple data sources and coach data owners/stewards on DQ practices.

Conhecimentos

Data Quality

Data Governance

Data Management

ETL

Automation

AI pattern detection

Ferramentas

Snowflake

SQL/T-SQL

Power BI

Power Automate

Power Apps

Data Flows

Acceldata

Experian Aperture

Ataccama

Alteryx

Trillium

SAS Viya

SAP MDG

Talend

Collibra

Descrição da oferta de emprego

• Develop and implement Data Quality rules using SQL and DQ tools such as Acceldata, Experian Aperture, Ataccama, Trillium, or similar.
• Build and support Power BI Data Quality dashboards using data from Snowflake and global systems.
• Perform data profiling, analysis, reconciliation, and root cause analysis (RCA).
• Partner with Data Owners, Data Stewards, Business, and IT teams to define and implement DQ KPIs and monitoring solutions.
• Automate data quality monitoring, issue tracking, and reporting using Power Automate/Power Platform.
• Support AI/ML and AI Agent/Copilot use cases for data quality automation and pattern detection.
• Manage Data Quality incidents and establish continuous monitoring mechanisms.
• Support data matching/linking across multiple data sources and coach data owners/stewards on DQ practices.

Required Skills:

• Strong experience in Data Quality, Data Governance, and Data Management.
• Hands-on experience with Snowflake and advanced SQL/T-SQL.
• Strong Power BI development and dashboarding experience.
• Experience with Power Automate, Power Apps, or Data Flows.
• Experience with DQ/profiling tools such as Acceldata, Experian Aperture, Ataccama, Alteryx, Trillium, or SAS Viya.
• Strong ETL, data reconciliation, profiling, data analysis, and automation skills.
• Experience working with SAP MDG/ECC/S4 HANA is an advantage.
• Knowledge of Collibra/Talend, data lineage, governance, and compliance is desirable.
• Experience with AI-driven data observability or pattern detection is a plus.
• Excellent communication, stakeholder management, and problem-solving skills.