MDM Data Business Analyst - SAP MDG & Informatica

MDM Data Business Analyst - SAP MDG & Informatica Inside IR35 Remote/Hybrid - London 6 months Initially

Overview

We are seeking an experienced MDM Data Business Analyst with expertise in SAP MDG and Informatica to support the delivery of enterprise-wide data management initiatives, with a particular focus on Master Data Management (MDM), Data Quality (DQ), and Data Governance (DG).

The successful candidate will play a key role in requirements gathering, analysis, design support, testing, and stakeholder engagement, ensuring business and data requirements are clearly defined, documented, and delivered across complex enterprise data programmes.

Key Responsibilities for the MDM Data Business Analyst with expertise in SAP MDG and Informatica

• Lead business and data requirements gathering workshops with key stakeholders.
• Document, analyse, and obtain sign-off for business, functional, and data requirements.
• Translate business requirements into detailed data specifications and system configurations.
• Support the design, build, and implementation of MDM, Data Governance, and Data Quality solutions.
• Develop and review SIT and UAT test scenarios, test scripts, and test evidence.
• Conduct data analysis and validation activities to ensure data accuracy and integrity.
• Define and monitor data quality rules, controls, and KPIs.
• Identify, investigate, and support the resolution of data quality issues.
• Support the implementation and governance of customer and product master data domains.
• Collaborate with business and technical teams to improve data processes, governance frameworks, and operating models.
• Produce high-quality documentation including business requirements, process maps, data definitions, user stories, and governance artefacts.
• Work closely with Supply Chain, Regulatory, Marketing, Technology, and Data teams to drive successful delivery.

Required Experience for the MDM Data Business Analyst with expertise in SAP MDG and Informatica:

• Proven experience delivering Enterprise Data Management initiatives covering:

• Master Data Management (MDM)
• Data Quality (DQ)
• Data Governance (DG)

Experience within Consumer Healthcare, Pharmaceuticals, FMCG, Retail, or similarly complex regulated environments is highly desirable.

Understanding of enterprise data concepts, including:

• Data modelling
• Metadata management
• Reference data
• Data lineage
• Data catalogues and data marketplaces

Demonstrable experience implementing MDM solutions, specifically across:

• Product Master Data
• Customer Master Data

Background in defining and managing data quality frameworks and controls.

Experience working within large-scale, cross-functional enterprise data programmes.

Proven ability to engage and influence stakeholders at multiple levels across the organisation.

Exceptional analytical, documentation, and communication skills.

Technical Skills

• Experience with enterprise data management platforms, ideally:

• Informatica
• SAP MDG

SQL skills for data analysis, profiling, reconciliation, and validation.

Understanding of:

• Data Lakes
• ETL processes
• Data integration patterns

Knowledge of:

• SAP ECC
• SAP S/4HANA
• SAP BW
• Azure Data Lake
• Databricks
• Power BI

Key Competencies

• Analytical and problem-solving capability.
• Ability to bridge the gap between business and technical teams.
• Highly detail-oriented with a focus on data accuracy and compliance.
• Excellent stakeholder management and facilitation skills.
• Ability to manage competing priorities within a complex programme environment.
• Continuous improvement mindset with a passion for data excellence.

Desirable

• Experience supporting global MDM or Data Governance transformations.
• Exposure to Agile delivery methodologies.
• Familiarity with data governance operating models and stewardship frameworks.
• Experience working in regulated industries with complex product and customer data structures.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Required Experience for the MDM Data Business Analyst with expertise in SAP MDG and Informatica:

• Proven experience delivering Enterprise Data Management initiatives covering:

• Master Data Management (MDM)
• Data Quality (DQ)
• Data Governance (DG)

Experience within Consumer Healthcare, Pharmaceuticals, FMCG, Retail, or similarly complex regulated environments is highly desirable.

Understanding of enterprise data concepts, including:

• Data modelling
• Metadata management
• Reference data
• Data lineage
• Data catalogues and data marketplaces

Demonstrable experience implementing MDM solutions, specifically across:

• Product Master Data
• Customer Master Data

Background in defining and managing data quality frameworks and controls.

Experience working within large-scale, cross-functional enterprise data programmes.

Proven ability to engage and influence stakeholders at multiple levels across the organisation.

Exceptional analytical, documentation, and communication skills.

Technical Skills

• Experience with enterprise data management platforms, ideally:

• Informatica
• SAP MDG

SQL skills for data analysis, profiling, reconciliation, and validation.

Understanding of:

• Data Lakes
• ETL processes
• Data integration patterns

Knowledge of:

• SAP ECC
• SAP S/4HANA
• SAP BW
• Azure Data Lake
• Databricks
• Power BI

Key Competencies

• Analytical and problem-solving capability.
• Ability to bridge the gap between business and technical teams.
• Highly detail-oriented with a focus on data accuracy and compliance.
• Excellent stakeholder management and facilitation skills.
• Ability to manage competing priorities within a complex programme environment.
• Continuous improvement mindset with a passion for data excellence.

Desirable

• Experience supporting global MDM or Data Governance transformations.
• Exposure to Agile delivery methodologies.
• Familiarity with data governance operating models and stewardship frameworks.
• Experience working in regulated industries with complex product and customer data structures.