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# Data Analyst

- **Company:** CGI Group Inc.
- **Location:** United Kingdom
- **Salary:** £85,392
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Business Analytics Applications, Data Analysis, JIRA, Microsoft Azure, Data Architecture, Data Dictionary, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Profiling, Data Systems, Data Warehousing, JSON, Python (Programming Language), SQL Azure, Power BI, SQL Databases, Tableau (Software), Technical Data Management Systems, Extensible Markup Language (XML), Azure Data Factory, Sql Optimization, Grafana, Apache Spark, Data Layers, Pandas, Microsoft Fabric, Pyspark, Data Lineage, Qlikview, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5965586777

## About the Role

* Data Analysis & Consulting: Proven experience delivering data analysis or analytics solutions in client-facing or complex organisational environments.
 * Python & SQL: Strong hands-on proficiency in Python, including pandas, and advanced SQL for data profiling, transformation, investigation and validation.
 * Data Modelling: Experience designing conceptual, logical, physical and dimensional data models, including source-to-target mappings, data dictionaries and lineage documentation.
 * ETL/ELT & Data Integration: Strong understanding of data pipelines, transformation processes and integration between source systems and downstream services.
 * Lakehouse Architecture: Good understanding of modern Lakehouse platforms and Bronze, Silver and Gold medallion architecture principles.
 * Business Intelligence: Experience developing reports and dashboards using Power BI or comparable BI technologies.
 * Requirements & Documentation: Ability to translate business requirements into clear technical specifications, user stories and acceptance criteria.
 * Stakeholder Engagement: Strong communication, workshop facilitation and consulting skills, with experience collaborating across multidisciplinary Agile teams.

Desirable skills and experience:

 * Experience with Microsoft Azure, Azure SQL, Azure Data Factory or Databricks, including SQL workload migration.
 * Familiarity with data modelling tools such as Hackolade or ERwin.
 * Knowledge of Microsoft Fabric, Azure Synapse, Spark or PySpark.
 * Experience with Tableau, Qlik, semantic layers, data governance or observability tools.
 * Understanding of APIs and structured data formats, including JSON and XML.
 * Experience delivering data solutions within public sector, transport or other regulated environments.

#LI-JW1

 * Azure
 * Data Analysis
 * Microsoft PowerBI
 * Python
 * SQL

Together, as owners, let's turn meaningful insights into action.

## Description

* Lead & Discover: Facilitate stakeholder workshops to understand business objectives, gather requirements and translate findings into technical specifications, user stories and acceptance criteria.
 * Analyse & Investigate: Use Python, pandas and SQL to explore complex datasets, identify patterns and anomalies, investigate root causes and deliver actionable insights.
 * Design & Model: Develop conceptual, logical, physical and dimensional data models, defining relationships, business rules, source-to-target mappings and data lineage.
 * Transform & Modernise: Support data transformation and migration initiatives using modern Lakehouse platforms, including Azure and Databricks.
 * Develop & Validate: Apply Bronze, Silver and Gold medallion architecture principles to create governed, reliable and business-ready data products.
 * Visualise & Communicate: Build insightful reports and dashboards using Power BI or comparable tools, translating analytical findings into clear business recommendations.
 * Optimise & Assure: Analyse ETL/ELT pipelines, implement data quality controls, coordinate reconciliation and user acceptance testing, and resolve data issues.
 * Collaborate & Influence: Work closely with multidisciplinary Agile teams, provide trusted client advice, challenge assumptions constructively and mentor colleagues.
 * Deliver & Improve: Maintain delivery backlogs and documentation using Jira or Azure DevOps, following established testing, version control and release practices.

To succeed in this role, you should bring strong technical data analysis capabilities, proven consulting experience and the confidence to translate complex information into meaningful business outcomes. You'll combine hands-on expertise in Python, SQL and data modelling with a solid understanding of modern data architectures. Your collaborative approach, analytical curiosity and ability to take ownership of delivery will help you build trusted relationships and contribute to successful client outcomes.