Hybrid Data Quality Analyst - SAP, AI & Power BI

ITH Pharma; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

ITH Pharma in NW London seeks a Data Quality Specialist to turn SAP, MySQL and AI-enabled data into clear, trusted insights via Power BI dashboards. You will model data, automate reports and support QA, production, supply chain and finance with decision-ready analytics in a highly regulated environment.

The role emphasizes data quality, KPI definition, and responsible AI usage to improve forecasting, reporting accuracy and process efficiency. Hybrid working available.

Qualifications

• Relevant degree or professional experience in data analytics, computer science, information systems, mathematics or statistics.
• Experience in data analysis, BI, or data quality roles.
• Ability to translate business questions into analytical requirements and data models.
• Experience with SAP and/or ERP data sources.
• Strong data preparation, modelling, and reporting skills in Power BI.

Responsibilities

• Build and maintain Power BI dashboards, reports and KPIs across multiple business areas.
• Extract, cleanse and analyze data from SAP, MySQL, AI platforms and internal systems.
• Translate business questions into data models and insights for stakeholders.
• Investigate trends and root causes; present actionable recommendations.
• Use AI-enabled analytics responsibly to improve forecasting and reporting.
• Automate recurring reports while ensuring data quality and auditability.
• Collaborate with IT to resolve data quality, access and performance issues.
• Provide training and documentation to enable self-service analytics.

Skills

Data quality

Power BI

SQL

Excel

AI analytics

KPI definition

Analytical thinking

Communication

Education

Bachelor's degree in data analytics or related

Tools

Power BI

SAP

SQL

Excel

Job description

ITH Pharma in NW London seeks a Data Quality Specialist to turn SAP, MySQL and AI-enabled data into clear, trusted insights via Power BI dashboards. You will model data, automate reports and support QA, production, supply chain and finance with decision-ready analytics in a highly regulated environment.

The role emphasizes data quality, KPI definition, and responsible AI usage to improve forecasting, reporting accuracy and process efficiency. Hybrid working available.