Role description
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
Responsibilities
Data Analysis & Insight Generation
- 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.
Data Quality & Governance
- 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.
Data Modelling & Architecture Support
- 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.
Requirements & Business Engagement
- 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.
Collaboration & Communication
- 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
Skills & Experience
Essential
- 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.
Desirable
- 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.
If interested, please apply with your updated CV for an immediate discussion
#UST
Skills
Data Analysis, Data Modeling, Power BI, SQL, Cloud Data Warehousing, Dashboard Development, Metadata Management, Databricks, Data Vault, Data Validation, Microsoft Excel
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
