Data Quality Assurance Analyst

9nexus; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

9NEXUS Limited is seeking a data quality specialist in London to develop and implement data quality rules using SQL and leading DQ tools, and to build Power BI dashboards pulling data from Snowflake and global systems.

You will profile and reconcile data, define DQ KPIs with stakeholders, automate monitoring via Power Platform, and support AI-driven observability to detect patterns and incidents across enterprise data assets.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data Quality

Data Governance

Data Management

SQL/T-SQL

Snowflake

Power BI

Power Automate/Power Platform

Data Profiling

KPIs/Monitoring

Communication & Stakeholder mgmt

Tools

Snowflake

SQL

Power BI

Power Automate

Power Apps

Data Flows

Acceldata

Experian Aperture

Ataccama

Alteryx

Trillium

SAS Viya

SAP MDG/ECC/S4 HANA

Collibra

Talend

Job description

• 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.