Data Analyst Joint Design Office (JDO)
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 14, 2026. Sizewell C scores A on the Alion truth index.
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Data Analyst Joint Design Office (JDO)
Mactech
Hinkley Point C
Job Purpose / Overview
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.
Operating Environment
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.
Framework & Boundaries
Operates within HPC Information Management System (IMS) and JDO data governance standards; supports compliance with relevant quality frameworks (e.g., ISO 9001, GSR-3).
Supports analytics and reporting under the guidance of the Data Management Lead; influences data-driven decisions without direct line management.
Works within agreed reporting cadences and confidentiality requirements.
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.
Dimensions
Reports to the Engineering Support Data Management Lead.
Interfaces with JDO teams, RD, HPC Quality teams, and IT/Data Governance teams.
Knowledge, Skills, Qualifications & Experience
Essential
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
For this role you must have evidence of right to work in the UK. As a project, we do not discriminate on the grounds of age, gender, race, colour, religion, disability or sexual orientation, and we welcome applications from all sections of the community.
The HPC Jobs Service supports local people into exciting, long-term careers across our Project.
Data Analyst Joint Design Office (JDO)
Mactech
Hinkley Point C
Job Purpose / Overview
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.
Operating Environment
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.
Framework & Boundaries
Operates within HPC Information Management System (IMS) and JDO data governance standards; supports compliance with relevant quality frameworks (e.g., ISO 9001, GSR-3).
Supports analytics and reporting under the guidance of the Data Management Lead; influences data-driven decisions without direct line management.
Works within agreed reporting cadences and confidentiality requirements.
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.
Dimensions
Reports to the Engineering Support Data Management Lead.
Interfaces with JDO teams, RD, HPC Quality teams, and IT/Data Governance teams.
Knowledge, Skills, Qualifications & Experience
Essential
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
For this role you must have evidence of right to work in the UK. As a project, we do not discriminate on the grounds of age, gender, race, colour, religion, disability or sexual orientation, and we welcome applications from all sections of the community.