Job SummaryClient seeks a highly analytical and detail-oriented Technical Data Analyst to support the management, quality, and evolution of enterprise architecture information. Acting as a bridge between business stakeholders and technology teams, this role ensures that business, application, data, technology, and AI-related information is accurately captured, modelled, and maintained. The analyst will improve the quality and adoption of architecture data, enabling better decision-making, governance, impact analysis, and strategic planning.
Key Responsibilities- Data Modelling & Management: Develop and maintain metamodels, taxonomies, standards, data definitions, and reference models.
- Data Quality & Governance: Analyze and improve data quality, completeness, consistency, and governance controls.
- Enterprise Relationships: Document relationships between business processes, applications, data assets, and technology platforms.
- Reporting & Insights: Create reports, dashboards, and management information to support decision-making.
- Stakeholder Engagement: Facilitate discussions with business and technical stakeholders; gather requirements and translate findings into actionable insights.
- Technical Analysis: Use SQL/Python for data extraction, validation, and reporting.
Required Qualifications- Minimum 5 years' experience in data analysis, architecture data management, or business analysis.
- Strong understanding of data modelling, mapping, metadata management, and information architecture principles.
- Proven ability to investigate complex data sets, identify issues, and recommend solutions.
- Strong analytical mindset with attention to detail and focus on data accuracy.
- Excellent written and verbal communication skills.
- Strong stakeholder management and problem-solving skills.
- Advanced SQL/Python proficiency.
Preferred Qualifications (if any)- Experience with Enterprise Architecture platforms (LeanIX, ServiceNow, Collibra, Ardoq, Bizzdesign, MEGA).
- Familiarity with data governance and metadata management initiatives.
- Experience with reporting tools such as Power BI or Tableau.
- Knowledge of architecture frameworks such as TOGAF.
- Experience supporting technology transformation, cloud migration, or modernization programs.
Skills That Will Help You in the Role- Ability to create compelling visual representations of data and insights.
- Growth mindset with commitment to continuous learning.
- Ability to influence and partner with stakeholders across divisions.
- Strong organizational and prioritization skills to manage multiple requests and deadlines.
