- We seek a highly analytical and detail-oriented Technical Data Analyst to support the management, quality, and evolution of enterprise architecture information. This role acts as the bridge between business stakeholders and technology teams, ensuring that business, application, data, technology, and AI-related information is accurately captured, modelled, and maintained.
- The successful candidate will combine strong data modelling and analytical capabilities with excellent stakeholder engagement skills. They will play a key role in improving the quality and adoption of architecture data, enabling better decision-making, governance, impact analysis, and strategic planning across the organization.
What we’re looking for:
- Minimum 5 years' experience in a data analysis, architecture data management, business analysis, or similar analytical role.
- Strong understanding of data modelling, data mapping, metadata management, and information architecture principles.
- Experience developing and maintaining metamodels, taxonomies, standards, data definitions, and reference models.
- Experience analysing and improving data quality, completeness, consistency, and governance controls.
- Strong analytical mindset with the ability to investigate complex data sets, identify issues, draw insights, and recommend solutions.
- Ability to understand and document relationships between business processes, applications, data assets, technology platforms, and other enterprise entities.
- Excellent problem-solving skills with a keen attention to detail and a focus on data accuracy.
- Strong stakeholder management skills, with the ability to facilitate discussions and gather requirements from both business and technical audiences.
- Proven ability to translate complex findings into clear, actionable insights and recommendations.
- Strong SQL/Python skills for data extraction, analysis, validation, and reporting.
- Experience creating reports, dashboards, and management information to support decision-making.
- Excellent written and verbal communication skills.
Nice to Have:
- Experience with Enterprise Architecture, Application Portfolio Management, CMDB, Data Governance, or Metadata Management platforms (e.g., LeanIX, ServiceNow, Collibra, Ardoq, Bizzdesign, MEGA).
- Experience supporting Enterprise Architecture, Business Architecture, Data Governance, or Technology Governance initiatives.
- Familiarity with APIs, data integrations, and data synchronisation concepts.
- Experience with reporting and visualisation tools such as Power BI or Tableau.
- Experience conducting dependency mapping, impact assessments, or technology landscape analysis.
- Understanding of business capability modelling, application portfolio management, or technology lifecycle management.
- Knowledge of architecture frameworks such as TOGAF.
- Experience supporting technology transformation, cloud migration, or modernisation programmes.
Skills that will help you in the role:
- Ability to create simple, compelling visual representations of data and insights that drive understanding and decision-making.
- A growth mindset and commitment to continuously learning new analytical tools, technologies, and methodologies to keep your skillset current.
- Ability to influence and partner with business stakeholders across divisions who have competing priorities
- Strong organizational and prioritization skills, with the ability to manage multiple requests and deadlines effectively.
- Equal opportunities statement: *** is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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Data Analyst
Gala Solutions
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