Data Analyst​/Data Modelling Analyst(Lead II - Data Engineering

Role

Data Analyst/Data Modelling Analyst

Hybrid working model with 3 days work from office

Permanent/ Fixed term/ Contract inside IR 35

Contract Length:
Initial 3 months-6 months

Immediate start

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship

• Analyse business and operational data to identify trends, insights, risks and opportunities.
• Develop clear and actionable recommendations based on data analysis.
• Support the creation and maintenance of dashboards, reports and datasets that enable informed decision-making.
• Define, track and report on key performance indicators and success metrics.
• Work with stakeholders to understand data requirements and translate them into meaningful analytical outputs.

• Ensure data quality and integrity across the full data lifecycle, from source systems through to reporting and analytics.
• Conduct data validation, reconciliation and quality assurance activities to identify and resolve data issues.
• Support the definition and implementation of data quality rules and controls.
• Assist with documenting data lineage, transformations and business definitions to support transparency and trust in data.
• Promote best practices for data governance, accuracy and consistency.

• Support the design, development and maintenance of logical and physical data models across business domains.
• Assist with dimensional modelling activities, including fact and dimension design using Kimball methodologies.
• Support the documentation and maintenance of Data Vault models within raw and business integration layers.
• Help define and document data flows, business entities and relationships across enterprise systems.
• Contribute to the ongoing development of architecture standards, principles and modelling best practices.
• Support metadata management, data catalogue and data discoverability initiatives.

• Engage with business stakeholders to understand requirements, pain points and opportunities.
• Translate business requirements into clear and technically viable data specifications.
• Collaborate with Engineers, Architects and Product teams to ensure solutions meet business needs.
• Support workshops, discovery activities and requirement gathering sessions.
• Maintain clear traceability between user requirements and delivered data products.

• Work closely with Data Architects, Data Engineers, Product Managers and Business stakeholders to deliver effective data solutions.
• Produce clear documentation, presentations and recommendations suitable for technical and non-technical audiences.
• Communicate findings, insights and proposed solutions in a concise and engaging manner.
• Support adoption and understanding of data products through training, documentation and stakeholder engagement.

• Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights.
• Proficiency in SQL with experience querying, validating and analysing data directly from databases.
• Experience working with reporting tools, dashboards, performance metrics and analytical datasets.
• Understanding of data quality principles, validation techniques and governance processes.
• Ability to gather and document business requirements and translate them into technical solutions.
• Strong problem-solving and critical-thinking capabilities.
• Excellent written and verbal communication skills.
• Experience using Microsoft Excel and data visualisation tools such as Power BI.
• Ability to manage multiple tasks and priorities in a fast-paced environment.

• Understanding of dimensional modelling techniques, including fact and dimension modelling.
• Exposure to Kimball methodology and data warehousing concepts.
• Understanding of Data Vault principles and modern data architecture practices.
• Experience documenting data lineage, metadata and business definitions.
• Familiarity with cloud-based data platforms and analytics ecosystems.

• Understanding of data governance, master data and enterprise data management concepts.
• Experience working in Agile delivery environments.
• Exposure to data catalogue or metadata management tools.
• Experience using Databricks for querying, analysing and transforming data within cloud-based analytics environments.

Data Analysis, Data Modeling, Power BI, SQL, Cloud Data Warehousing, Dashboard Development, Metadata Management, Databricks, Data Vault, Data Validation, Microsoft Excel