Data Manager (Microsoft Fabric), Edinburgh

Act as a critical link between business stakeholders and modern data capabilities by leveraging Microsoft eco-system to design, build, and maintain new compliant, high-quality analytical data solutions within a regulated financial-services environment. The role focuses on transforming business objectives into robust, auditable data models, pipelines, and insights that support risk management, regulatory reporting, operational efficiency, and strategic decision-making.

Collaborate with technical and non-technical teams to understand existing infrastructure and business needs and map to new strategic data products and processes that will provide insight and data driven decisioning, * Engage with business stakeholders to understand and document data requirements aligned with organisational goals and regulatory requirements

• Translate business requirements into functional specs and data products to support change, process improvement, new analytical products and automation.
• Design and build Lakehouse/Warehouse data models and pipelines to support end to end data ingestion through to MI and Dashboards such as Customer Analytics, Risk MI, Financial Crime monitoring, reg reporting and marketing.
• Implement and monitor audit trails such as Data Lineage, Quality and traceability
• Utilise data to analyse, interpret and visualise trends, patterns, and business and efficiency opportunities.
• Develop use cases and user stories in collaboration with stakeholders to ensure alignment and clarity.
• Facilitate workshops and stakeholder meetings to gather insights, validate requirements and share findings.
• Develop and maintain documentation, including data models, process flows, data dictionaries, and business glossaries.
• Support data quality initiatives, identifying and addressing data issues or inconsistencies and maintenance of Critical Data Elements (CDEs).
• Assist in the design and implementation of data governance and data management practices.
• Facilitate data-driven decision-making through the creation of Power BI dashboards, reports, and presentations.
• Provide guidance and support to business stakeholders and users to aid the delivery of project and change lifecycles.
• Support the wider project and change delivery team, including business case development, planning, workshops, reporting, RAID and action logs.
• Maintain effective controls to mitigate risk and ensure compliance with required processes and procedures, including Treating Clients Fairly, and report any failings to line management or the Risk department.
• Champion a culture of data literacy and continuous improvement within the business. Foster a data led ethos across all business areas

Do you have experience in Waterfall?, Do you have a Bachelor’s degree?, * Bachelor’s degree in business, Information Systems, Data Science, or a related field (or equivalent experience).

• Relevant certifications (e.g., IIBA CBAP, BCS Business Analysis, or data analytics qualifications) are advantageous.
• Proven experience with the Microsoft Fabric stack (SQL, Power BI, Azure, PowerApps, Dynamics) with a focus on data or analytics projects.
• Experience of Oracle systems and data structures is desirable
• Demonstrated track record of delivering data-driven solutions to business challenges.
• Experience working with cross-functional teams in a fast-paced environment to gather and map requirements
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
• Excellent communication and stakeholder management skills.
• Proficiency in data visualisation tools and automation techniques
• Experience with data querying languages (e.g. SQL) and understanding of data structures and security models.
• Knowledge of data governance, data quality, and data management best practices.
• Understanding of data privacy and compliance requirements (e.g., GDPR).
• Ability to document processes, requirements, and data flows clearly and concisely.
• Familiarity with Agile and/or Waterfall project methodologies.
• Adaptability and willingness to learn new technologies or concepts in the data domain., * Curious and proactive mindset, with a passion for deriving insights from data.
• Strong attention to detail and commitment to data accuracy and integrity.
• Collaborative approach and ability to work effectively with diverse teams.
• Strong organisational and time management skills.

Pulled from the full job description

• Annual leave
• Employee assistance programme
• Company pension
• Private medical insurance
• Cycle to work scheme
• Season ticket loan
• Free flu jabs, In addition to a competitive salary, we offer