Data Analytics Manager (Sizewell C)

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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.