Data Analyst

Initial contract duration: 3 months

About the Role

We are looking for a highly skilled Data Analyst / Data Modelling Analyst who can bridge the gap between traditional data analysis and data architecture. This role combines strong analytical expertise with a solid understanding of modern data architecture, data modelling techniques, and end-to-end data lifecycle management.

You will work closely with Business Stakeholders, Product Teams, Data Engineers, Architects, and Analytics teams to define requirements, analyse data, design scalable data structures, and support enterprise reporting and analytics solutions. Experience with Medallion Architecture (Bronze, Silver, Gold layers), Kimball dimensional modelling, Power BI, and Databricks is highly desirable.

Key Responsibilities

Data Analysis & Reporting

• Analyse business and operational data to identify trends, risks, opportunities, and actionable insights.
• Develop recommendations to support data-driven decision-making.
• Design, maintain, and improve dashboards, reports, and analytical datasets.
• Define, monitor, and report on key performance indicators (KPIs) and business metrics.
• Gather and translate business requirements into meaningful analytical outputs.

Data Quality & Governance

• Ensure data quality, integrity, and consistency throughout the data lifecycle.
• Perform data validation, reconciliation, and quality assurance activities.
• Support the implementation of data quality rules, controls, and monitoring processes.
• Document data lineage, transformations, and business definitions.
• Promote best practices in data governance and data management.

Data Modelling & Architecture

• Support the design and implementation of modern data platforms using Medallion Architecture principles.
• Contribute to data transformation processes across Bronze, Silver, and Gold layers.
• Design and maintain conceptual, logical, and physical data models.
• Develop dimensional models, including fact and dimension tables, using Kimball methodology.
• Support Data Vault modelling activities within raw and integration layers.
• Define and document data flows, business entities, and system relationships.
• Contribute to architecture standards, modelling frameworks, and best practices.
• Support metadata management and data cataloguing initiatives.

Stakeholder & Requirements Management

• Collaborate with business stakeholders to understand requirements, challenges, and opportunities.
• Translate business needs into clear and technically feasible data specifications.
• Facilitate workshops, discovery sessions, and requirements-gathering exercises.
• Maintain traceability between business requirements and delivered data products.
• Partner with Data Engineers, Architects, and Product Teams to deliver effective solutions.

Communication & Collaboration

• Work closely with cross-functional teams to support enterprise data initiatives.
• Prepare clear documentation, presentations, and solution recommendations.
• Communicate analytical findings and technical concepts to both technical and non-technical audiences.
• Support user adoption through stakeholder engagement, training, and knowledge sharing.

Required Skills & Experience

• Proven experience as a Data Analyst, Data Modelling Analyst, Analytics Engineer, or similar role.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Advanced SQL skills for data extraction, validation, analysis, and troubleshooting.
• Hands-on experience with Power BI, including:
  
  • Dashboard and report development
  • Data modelling
  • Business reporting and KPI tracking
• Experience creating and managing analytical datasets and reporting solutions.
• Strong understanding of data quality principles, validation techniques, and governance processes.
• Experience gathering, documenting, and translating business requirements into technical solutions.
• Strong stakeholder management and communication skills.
• Understanding of enterprise data architecture and modern data platform concepts.
• Knowledge of Medallion Architecture and data processing across Bronze, Silver, and Gold layers.
• Experience with Kimball dimensional modelling techniques.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent verbal and written communication skills.

Nice to Have

• Experience operating in a hybrid Data Analyst / Data Architect capacity.
• Hands-on experience with Data Vault modelling.
• Exposure to Databricks for data engineering, querying, and analytics workloads.
• Experience with cloud-based data and analytics platforms (Azure preferred).
• Knowledge of metadata management, data catalogues, and data lineage tools.
• Understanding of Master Data Management (MDM) and enterprise data management concepts.
• Experience working within Agile delivery environments.
• Exposure to enterprise reporting and analytical solution design.
• Experience supporting the end-to-end data journey from ingestion to business-ready datasets.

What You’ll Bring

• Strong business and data acumen.
• A proactive and collaborative approach to problem-solving.
• The ability to translate complex data concepts into business value.
• A passion for data quality, governance, and continuous improvement.
• Confidence working with stakeholders across both business and technical teams.

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