Data Analytics Manager (Sizewell C)
Job Category:
Construction
Contract Partner Company:
Balfour Beatty
Employing Company:
Balfour Beaty
The SZC Jobs Service supports local people into exciting, long-term careers across our Project. #SZCJobs
Opportunity for a Data Analytics Manager (Sizewell C) working with Balfour Beatty on the Sizewell C Project,
Main Duties:
High-Value Data Products
- Engage key business stakeholders to ensure we understand and deliver to their downstream analytics and reporting requirement
Scope & design data products to meet these requirements
- Work as part of our data pods to deliver end-end data products (incl. data architecture, Data engineering & Dara integration experts)
- Serve data to the business in a consumable and performant manner
- Define best practice and provide technical oversight of data analytics work
Enterprise-Grade Power BI Development & Management
- Maintain and develop enterprise-level Power BI datasets, ensuring scalability, optimal performance, and alignment with business needs.
- Design and implement efficient data models using Kimball-style star schema principles to transform raw data into analysis-ready insights.
- Optimize Power BI models, including DAX calculations, Power Query (M), and report performance, ensuring efficient and responsive analytics.
- Establish data refresh schedules, incremental loading strategies, and performance tuning to support streaming and non-streaming analytics.
Advanced Data Modelling & Architecture
- Design, implement, and optimize data models that balance performance and usability across relational and non-relational data sources, aligning with the organization's strategic objectives.
- Apply medallion architecture principles, ensuring a structured flow from raw to curated and refined data layers within the Azure ecosystem.
- Work with data engineers to ensure data pipelines are optimized for analytics consumption, ensuring seamless integration across data sources.
- Advocate for best practices in data modelling and ensure adherence to industry standards and governance policies.
Cross-Team Collaboration & Stakeholder Engagement
- Facilitate cross-functional communication, working closely with data engineers, Power BI developers, and stakeholders to ensure data solutions meet evolving business requirements.
- Act as a trusted advisor, helping teams feel confident and competent in leveraging data for informed decision-making.
- Provide clear documentation and training to empower business users with self-service analytics capabilities.
- Collaborate with leadership to align data initiatives with strategic goals, ensuring long-term scalability and usability of data assets.
Performance Optimization & Continuous Improvement
- Optimize SQL queries and Power BI datasets to improve report loading times and scalability.
- Stay updated on emerging technologies and trends within the Microsoft stack to drive continuous improvements in data architecture and analytics.
- Foster a culture of continuous learning and innovation within the team, ensuring the adoption of best practices and cutting-edge techniques
Qualifications/Experience:
Essential
- Previous experience in a Senior Analytics Engineering role or similar.
Desirable
- Microsoft certifications in Azure Data Services and Power BI.
- Experience in civil infrastructure or large-scale public sector projects.
- Understanding of Agile methodologies and experience working in iterative development environment
Technical Skills:
- Extensive experience with Kimball-style dimensional modelling (Star Schema) and data warehousing best practices.
- Strong understanding of relational vs. non-relational data sources, and how to integrate them effectively into analytics solutions.
- Proficiency in SQL and experience with performance tuning in environments such as SQL Server and Power BI.
- Expertise in building and optimizing Power BI data models, including DAX calculations and visualization best practices.
- Familiarity with Azure data services, including Data Lake and Azure Databricks.
- Understanding of medallion architecture and how to apply it in modern data platform designs.
- Experience with version control and deployment pipelines in Power BI.
Leadership & Soft Skills:
- Excellent communication skills, capable of translating technical concepts for non-technical stakeholders and translate non-technical requests to implementation.
- Strong experience in team leadership, with a focus on creating a positive, supportive, and collaborative work environment.
- Ability to foster growth in technical and analytical skills for team members.
- Strong stakeholder management skills, ensuring alignment between business and technical teams
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 SZC Jobs Service supports local people into exciting, long-term careers across our Project. #SZCJobs
Opportunity for a Data Analytics Manager (Sizewell C) working with Balfour Beatty on the Sizewell C Project,
Main Duties:
High-Value Data Products
- Engage key business stakeholders to ensure we understand and deliver to their downstream analytics and reporting requirement
Scope & design data products to meet these requirements
- Work as part of our data pods to deliver end-end data products (incl. data architecture, Data engineering & Dara integration experts)
- Serve data to the business in a consumable and performant manner
- Define best practice and provide technical oversight of data analytics work
Enterprise-Grade Power BI Development & Management
- Maintain and develop enterprise-level Power BI datasets, ensuring scalability, optimal performance, and alignment with business needs.
- Design and implement efficient data models using Kimball-style star schema principles to transform raw data into analysis-ready insights.
- Optimize Power BI models, including DAX calculations, Power Query (M), and report performance, ensuring efficient and responsive analytics.
- Establish data refresh schedules, incremental loading strategies, and performance tuning to support streaming and non-streaming analytics.
Advanced Data Modelling & Architecture
- Design, implement, and optimize data models that balance performance and usability across relational and non-relational data sources, aligning with the organization's strategic objectives.
- Apply medallion architecture principles, ensuring a structured flow from raw to curated and refined data layers within the Azure ecosystem.
- Work with data engineers to ensure data pipelines are optimized for analytics consumption, ensuring seamless integration across data sources.
- Advocate for best practices in data modelling and ensure adherence to industry standards and governance policies.
Cross-Team Collaboration & Stakeholder Engagement
- Facilitate cross-functional communication, working closely with data engineers, Power BI developers, and stakeholders to ensure data solutions meet evolving business requirements.
- Act as a trusted advisor, helping teams feel confident and competent in leveraging data for informed decision-making.
- Provide clear documentation and training to empower business users with self-service analytics capabilities.
- Collaborate with leadership to align data initiatives with strategic goals, ensuring long-term scalability and usability of data assets.
Performance Optimization & Continuous Improvement
- Optimize SQL queries and Power BI datasets to improve report loading times and scalability.
- Stay updated on emerging technologies and trends within the Microsoft stack to drive continuous improvements in data architecture and analytics.
- Foster a culture of continuous learning and innovation within the team, ensuring the adoption of best practices and cutting-edge techniques
Qualifications/Experience:
Essential
- Previous experience in a Senior Analytics Engineering role or similar.
Desirable
- Microsoft certifications in Azure Data Services and Power BI.
- Experience in civil infrastructure or large-scale public sector projects.
- Understanding of Agile methodologies and experience working in iterative development environment
Technical Skills:
- Extensive experience with Kimball-style dimensional modelling (Star Schema) and data warehousing best practices.
- Strong understanding of relational vs. non-relational data sources, and how to integrate them effectively into analytics solutions.
- Proficiency in SQL and experience with performance tuning in environments such as SQL Server and Power BI.
- Expertise in building and optimizing Power BI data models, including DAX calculations and visualization best practices.
- Familiarity with Azure data services, including Data Lake and Azure Databricks.
- Understanding of medallion architecture and how to apply it in modern data platform designs.
- Experience with version control and deployment pipelines in Power BI.
Leadership & Soft Skills:
- Excellent communication skills, capable of translating technical concepts for non-technical stakeholders and translate non-technical requests to implementation.
- Strong experience in team leadership, with a focus on creating a positive, supportive, and collaborative work environment.
- Ability to foster growth in technical and analytical skills for team members.
- Strong stakeholder management skills, ensuring alignment between business and technical teams
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.