

Pharos Resource Partners
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a short-term contract for a Business Data Analyst, requiring strong business analysis skills and experience in Asset Management. Key skills include data management, requirements gathering, and MDM. Pay rate and work location are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Management #Business Analysis #DMP (Data Management Platform) #"ETL (Extract #Transform #Load)" #Data Analysis #Data Architecture #Documentation #Requirements Gathering #Data Governance #Data Integration #MDM (Master Data Management)
Role description
Technical Business/Data Analyst
💼 Short-term contract (potential for extension)
About the Role
We are looking for a highly capable Technical Business/Data Analyst to join a growing data transformation team supporting clients across the Asset Management and Asset Owner landscape.
This role sits at the intersection of business and technology, working closely with stakeholders to define requirements, assess current-state processes, design future-state data capabilities, and support the implementation of enterprise data management solutions.
The successful candidate will combine strong business analysis skills with a deep understanding of data management, data platforms, and operating models within investment management environments.
Key Responsibilities
• Engage with business and technology stakeholders to gather, analyse, and document business, functional, and data requirements.
• Conduct current-state assessments to identify data challenges, risks, gaps, and improvement opportunities.
• Support the design and implementation of Data Operating Models, including processes, governance, ownership, and controls.
• Define data entities, data relationships, master data structures, and business data requirements.
• Work alongside architects and engineering teams on the design and implementation of enterprise data management platforms.
• Analyse and document integration requirements across multiple systems and data sources.
• Support the development of Master Data Management (MDM) capabilities and data governance frameworks.
• Facilitate workshops and stakeholder discussions to identify and prioritise business use cases.
• Translate complex business needs into clear, actionable requirements and deliverables.
• Support phased transformation programmes, ensuring solutions align with business drivers and measurable outcomes.
• Contribute to target-state data architecture and modern data platform initiatives, including Medallion Architecture approaches where appropriate.
Essential Skills & Experience:
• Strong Business Analysis experience within data-focused transformation programmes.
• Experience working within Asset Management, Investments, Wealth Management, or Asset Owner organisations.
• Excellent requirements gathering, documentation, process analysis, and stakeholder engagement skills.
• Strong understanding of enterprise data management principles.
• Experience defining data models, master data structures, entities, and data relationships.
• Experience supporting the implementation of enterprise data platforms.
• Knowledge of data integration patterns and system interoperability.
• Understanding of Master Data Management (MDM) concepts and best practices.
• Experience conducting gap analysis, current-state reviews, and future-state design activities.
• Excellent communication skills with the ability to engage both business and technical audiences.
• Strong critical thinking, analytical, and problem-solving capabilities.
Please apply within for further details.
Technical Business/Data Analyst
💼 Short-term contract (potential for extension)
About the Role
We are looking for a highly capable Technical Business/Data Analyst to join a growing data transformation team supporting clients across the Asset Management and Asset Owner landscape.
This role sits at the intersection of business and technology, working closely with stakeholders to define requirements, assess current-state processes, design future-state data capabilities, and support the implementation of enterprise data management solutions.
The successful candidate will combine strong business analysis skills with a deep understanding of data management, data platforms, and operating models within investment management environments.
Key Responsibilities
• Engage with business and technology stakeholders to gather, analyse, and document business, functional, and data requirements.
• Conduct current-state assessments to identify data challenges, risks, gaps, and improvement opportunities.
• Support the design and implementation of Data Operating Models, including processes, governance, ownership, and controls.
• Define data entities, data relationships, master data structures, and business data requirements.
• Work alongside architects and engineering teams on the design and implementation of enterprise data management platforms.
• Analyse and document integration requirements across multiple systems and data sources.
• Support the development of Master Data Management (MDM) capabilities and data governance frameworks.
• Facilitate workshops and stakeholder discussions to identify and prioritise business use cases.
• Translate complex business needs into clear, actionable requirements and deliverables.
• Support phased transformation programmes, ensuring solutions align with business drivers and measurable outcomes.
• Contribute to target-state data architecture and modern data platform initiatives, including Medallion Architecture approaches where appropriate.
Essential Skills & Experience:
• Strong Business Analysis experience within data-focused transformation programmes.
• Experience working within Asset Management, Investments, Wealth Management, or Asset Owner organisations.
• Excellent requirements gathering, documentation, process analysis, and stakeholder engagement skills.
• Strong understanding of enterprise data management principles.
• Experience defining data models, master data structures, entities, and data relationships.
• Experience supporting the implementation of enterprise data platforms.
• Knowledge of data integration patterns and system interoperability.
• Understanding of Master Data Management (MDM) concepts and best practices.
• Experience conducting gap analysis, current-state reviews, and future-state design activities.
• Excellent communication skills with the ability to engage both business and technical audiences.
• Strong critical thinking, analytical, and problem-solving capabilities.
Please apply within for further details.






