The Analytics Engineer will build and maintain data pipelines, develop Power BI reports, and optimize SQL queries to transform business data into actionable insights. This newly created role offers the opportunity to shape a modern data platform and work with Microsoft Fabric, supporting the growth of the analytics function.
The FinOps Consultant role involves analysing and optimising cloud costs, building financial models, and delivering insights to business, technology, and finance leaders. You will work with billing data from AWS, Azure, GCP, and SaaS providers, creating dashboards and reports to drive cost transparency and savings.
This role involves designing and developing interactive DOMO dashboards, building and optimizing ETL/ELT pipelines, and applying advanced analytics to transform complex data into actionable insights. You will collaborate with business and technical stakeholders to define KPIs and ensure high data quality standards.
This role involves designing and maintaining data transformations, building scalable data pipelines, and creating trusted datasets to support business intelligence and decision-making. You'll work closely with analysts and stakeholders to translate business requirements into robust data solutions using modern cloud platforms and analytics engineering best practices. The role emphasizes collaboration, data modelling, and enabling data-driven culture across a growing organisation.
Design and develop enterprise data solutions using Microsoft Fabric, migrating existing Power BI reports to Fabric's modern data platform. Build and optimise semantic models, dataflows, and reporting solutions across finance and operational data domains. Collaborate with data engineers and architects to implement Medallion Architecture and ensure governed, scalable data products.
This role involves designing, developing, and optimizing reporting and analytics solutions using Power BI, SQL, and data modeling. You will work closely with stakeholders to gather requirements, build impactful dashboards, and ensure data-driven decision-making across the business.
The Data Analyst will drive operational performance and workforce development in a manufacturing environment. Responsibilities include data analysis, reporting, training coordination, and continuous improvement initiatives, working closely with operational leaders to transform data into actionable insights.
Leads enterprise-wide data and AI strategy, driving data governance, AI innovation, and analytics capabilities across complex global organisations. Oversees data science, analytics, and platform teams while aligning with senior stakeholders to enable data-driven decision-making. Focuses on responsible AI, operational efficiency, and strategic growth through modern data platforms and emerging technologies.
Designs and develops enterprise Power BI solutions, creating scalable data models and intuitive dashboards to transform raw data into actionable insights. Works closely with clients and stakeholders to gather requirements and deliver robust reporting platforms. Mentors junior developers and promotes best practices in BI development, performance optimisation, and data governance across the team.
Build and maintain Power BI dashboards, develop automated data solutions using Power Apps and Power Automate, and extract insights from data using SQL and Python. Work with cross-functional teams to deliver data-driven decision-making across a global engineering organisation. Focus on reporting, analytics, and process automation within complex data environments.
The Head of Data Analytics will lead A2Dominion's analytics, insight, and AI capabilities, transforming how the organization uses data for decision-making, risk management, and customer outcomes. Key responsibilities include defining the analytics strategy, driving predictive insights, and building a high-performing analytics team.
This role involves developing and maintaining financial planning models within the Pigment platform, collaborating with finance teams to enhance planning and reporting, and supporting the adoption of AI-driven financial planning. You will work closely with stakeholders to build scalable solutions and improve data quality.
This role involves leading a data and analytics function, focusing on team development, governance, and strategic data initiatives. The Data Lead will establish standards, drive process improvements, and oversee technical delivery across reporting, data engineering, and analytics projects. Working closely with senior stakeholders, they will shape data strategy and ensure robust data quality, compliance, and scalable architecture.
The Head of Data Analytics & Insights will lead the evolution of the company's data and analytics capabilities, ensuring data-driven decision-making across the organization. Responsibilities include managing a team of Data Analysts and BI Developers, interpreting data to improve claim handling, reduce costs, and enhance customer experience.
This role involves leading multidisciplinary teams to deliver high-impact data and analytics solutions across various sectors. Responsibilities include shaping data products, managing teams, and ensuring successful project delivery using modern cloud technologies.
