> Markdown version of [/jobs/ext/3721265-data-analyst](https://www.wearedevelopers.com/jobs/ext/3721265-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Jdo - **Location:** Bristol, UK - **Contract:** Permanent contract - **Skills:** Big Data, Data Governance, Data Integration, Data Systems, Data Visualization, Document-Oriented Databases, Information Management, Python (Programming Language), Power BI, SQL Databases, Microsoft Power Automate, Powerquery, Vba Programming Language, Data Management, Tools for Reporting, Data Pipelines, Databricks - **Published:** October 14, 2026 - **Apply:** https://www.careerjet.co.uk/job/gbde840904bde568bf72b3f261bd4bfa49/eaa ## About the Role * Proficiency in Microsoft Office tools, particularly Excel. * Proficiency in SQL and/or Python for data extraction, transformation, and analysis. * Experience working with data visualisation and reporting tools (Power BI preferred). * Understanding of data integration, reconciliation, and data quality management techniques. * Strong analytical skills, numeracy, and the ability to communicate findings clearly, both verbally and in writing. * Understanding of data governance principles and the importance of data quality, consistency, and traceability. * Ability to work independently, manage multiple priorities, and collaborate effectively with a range of stakeholders. Desirable * Experience using the Databricks platform to access, transform, and analyse large datasets. * Advanced knowledge of Power BI, including DAX, Power Query, and data modelling. * Experience with automation tools & techniques, including VBA, Python, or Power Automate. * General engineering knowledge or experience in engineering, construction, or project delivery environments. * Familiarity with information management and data governance frameworks within regulated environments ## Description The Data Analyst position provides analytical and data management support to the Joint Design Office (JDO), ensuring accurate, timely, and actionable insights that improve engineering processes and decision-making across design, manufacture, and construction activities. The role manages multi-source data, develops dashboards, prepares leadership reporting, and partners with engineering managers to maintain data integrity and enable continuous improvement. The JDO is a site-based engineering organisation integrating Responsible Designer (RD) and third-tier designers to resolve site-based design issues. The Data Analyst operates within this collaborative structure, within the Engineering Support Branch and engaging with various JDO teams to deliver reliable data solutions. PRINCIPAL ACCOUNTABILITIES * Develop, maintain, and optimise governed data pipelines within the Databricks platform to support engineering reporting, analytics, and decision-making. * Extract, transform, and integrate data from multiple source systems using SQL and Python, ensuring data is accurate, reliable, and fit for purpose. * Design and maintain curated datasets and reporting layers that provide a trusted, single source of truth for engineering and business stakeholders. * Apply data governance principles to ensure data quality, consistency, traceability, lineage, and compliance with JDO and organisational information management standards. * Develop, maintain, and enhance dashboards and self-service reporting solutions (e.g. Power BI) to monitor delivery performance and provide actionable insights. * Collaborate with internal and external stakeholders to understand data requirements * Support the preparation of reports and presentations for Senior Leadership Teams, providing clear analysis, visualisations, and key insights. * Document data pipelines, datasets, business rules, data models, and reporting methodologies to ensure transparency, knowledge sharing, and auditability. * Monitor, maintain, and continuously improve data processes and reporting solutions to increase automation, efficiency, and reliability. * Identify opportunities to standardise and modernise data management practices through the adoption of scalable tools, technologies, and best practices.