Offre d'emploi Data Analyst

In this role, you will take ownership of delivering high-quality data analysis and analytical solutions that help clients make confident, evidence-based decisions. Working across the full delivery lifecycle, from initial discovery and requirements gathering through to data modelling, transformation and reporting, you will translate complex business challenges into practical, scalable solutions. You'll use your expertise in Python, SQL and modern data platforms to improve data quality, develop trusted data products and support cloud-based transformation initiatives.



You'll have the opportunity to influence technical decisions, challenge existing approaches and introduce innovative ways of working. Collaborating with Data Engineers, Architects and business stakeholders, you'll contribute to a supportive environment where knowledge sharing, continuous improvement and professional development are encouraged.



Key responsibilities include:



• 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.

Required qualifications to be successful in this role

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.



Essential skills and experience:



• 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.



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



Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…



You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.



Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.



You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.



That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.



Come join our team—one of the largest IT and business consulting services firms in the world.