Data Quality & AI Observability Analyst

9NEXUS Limited

Greater London

On-site

GBP 70,000 - 100,000

Full time

14 days+

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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

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.

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