Stevenage
Scope \n Akkodis is launching a new technical delivery team to drive a UK national program 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 program will create an advanced, candidate-centric experience tailored to meet tomorrow’s public sector skill demands. \n \n \n 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 across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure \n \n . \n 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 landscap \n \n e. \n R \n oleAs 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 too \n\n • ls.Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insigh\n, • ts.Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domai\n, • ns.Translate complex datasets into clear visualizations and actionable insights that support decision-maki\n, • ng.Apply data science and AI techniques to enhance analytical outcomes and forecasting accura\n, • cy.Ensure data quality, integrity, and governance across all reporting and analytics activiti\n\n es.Responsibilit \n\n • iesDesign, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insigh\n, • ts.Extract, transform, and integrate data from SaaS applications, APIs, and public data sourc\n, • es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati\n, • on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasti\n, • ng.Design scalable data models and analytics frameworks to support self-service BI and advanced analyti\n, • cs.Collaborate with cross-functional teams to define KPIs, reporting standards, and business metri\n, • cs.Conduct data profiling, validation, and quality assurance to ensure high data integri\n, • ty.Present analytical findings and actionable insights to both technical and non-technical stakeholde\n, • rs.Ensure compliance with data governance, privacy, and regulatory standards across all data initiativ\n\n es.Required Ski \n\n • llsDOMO Expertise: Proven experience building and managing DOMO dashboards, dataflows, connectors, and datase\n, • ts.SaaS Analytics: Experience working with SaaS-based analytics platforms, integrating and reporting on SaaS product or usage da\n, • ta.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 visualization in DO\n, • MO.Data Analytics & Visualization: Advanced SQL proficiency and strong understanding of visualization best practic\n, • es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati\n, • on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh\n, • ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor\n, • ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD\n, • F).Data Governance: Understanding of GDPR, PII, and secure data management principl\n, • es.Communication: Strong data storytelling skills to simplify complex insights for diverse audienc\n, • es.Collaboration: Proven ability to work effectively with engineers, developers, and business leade\n\n rs.Required Experie \n\n • nceMinimum 5+ years of experience in data analytics, BI, or data science, preferably within SaaS-based environmen\n, • ts.At least 2+ years of hands-on experience with DOMO (dashboards, datasets, dataflows, connector\n, • s).Demonstrated experience extracting and integrating data from SaaS applications, APIs, and public data sourc\n, • es.Proven record of delivering data-driven insights, advanced analytics, and predictive mode\n, • ls.Experience implementing AI or machine learning solutions for business intelligence is an advanta\n, • ge.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related fie\n, • ld.Certifications in DOMO, AWS, Azure, or Data Analytics are highly prefer\n\n redRequired educat \n\n • ionBachelor’s degree in information technology, Computer Science, Data Science, or a related fie\n\n ld.