Scope Akkodis is launching a new technical delivery team to drive a UK national programme in collaboration with key partners, designed to transform and future-proof the central government’s workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this programme will create an advanced, candidate-centric experience tailored to meet tomorrow’s public sector skills demands. This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-generation digital infrastructure. You’ll be integral to our mission of crafting a seamless, powerful platform that empowers the public sector with the talent to navigate an evolving digital landscape. Role As part of this mission, the Data Analyst / Data Analytics Engineer will play a key role in driving data analytics, reporting, and insight generation using DOMO and modern data science tools. Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insights. Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domains. Translate complex datasets into clear visualisations and actionable insights that support decision-making. Apply data science and AI techniques to enhance analytical outcomes and forecasting accuracy. Ensure data quality, integrity, and governance across all reporting and analytics activities. Responsibilities Design, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insights. Extract, transform, and integrate data from SaaS applications, APIs, and public data sources. Build and optimise data pipelines and ETL workflows for efficient and accurate data movement and transformation. Apply data science and AI techniques, including predictive modelling, clustering, regression, and NLP, to uncover trends and enable forecasting. Design scalable data models and analytics frameworks to support self-service BI and advanced analytics. Collaborate with cross-functional teams to define KPIs, reporting standards, and business metrics. Conduct data profiling, validation, and quality assurance to ensure high data integrity. Present analytical findings and actionable insights to both technical and non-technical stakeholders. Ensure compliance with data governance, privacy, and regulatory standards across all data initiatives. Required Skills DOMO Expertise: Proven experience building and managing DOMO dashboards, dataflows, connectors, and datasets. SaaS Analytics: Experience working with SaaS-based analytics platforms, integrating and reporting on SaaS product or usage data. Data Integration: Skilled in extracting and consolidating data from platforms such as Pega and Adobe, as well as APIs and public sources, for analysis and visualisation in DOMO. Data Analytics
Data Analytics Engineer employer: Akkodis
As a Power Platform Architect with us, you'll join a forward-thinking organisation in London that values innovation and collaboration. We offer a dynamic hybrid work environment, competitive daily rates, and a culture that fosters professional growth through challenging projects and continuous learning opportunities. Our commitment to employee development and a supportive atmosphere makes us an excellent employer for those seeking meaningful and rewarding careers in business intelligence.
