Data Analyst

ScopeAkkodis 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., RoleAs 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 visualizations 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.ResponsibilitiesDesign, 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 optimize data pipelines and ETL workflows for efficient and accurate data

movement and transformation.Apply data science and AI techniques (predictive modelling, clustering, regression, 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 SkillsDOMO 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 visualization in DOMO.Data Analytics & Visualization: Advanced SQL proficiency and strong understanding of visualization best practices.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automation.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insights.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, ADF).Data Governance: Understanding of GDPR, PII, and secure data management principles.Communication: Strong data storytelling skills to simplify complex insights for diverse audiences.Collaboration: Proven ability to work effectively with engineers, developers, and business leaders.Required ExperienceMinimum 5+ years of experience in data analytics, BI, or data science, preferably within SaaS-based environments.At least 2+ years of hands-on experience with DOMO (dashboards, datasets, dataflows, connectors).Demonstrated experience extracting and integrating data from SaaS applications, APIs, and public data sources.Proven record of delivering data-driven insights, advanced analytics, and predictive models.Experience implementing AI or machine learning solutions for business intelligence is an advantage.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field.Certifications in DOMO, AWS, Azure, or Data Analytics are highly preferredRequired educationBachelor’s degree in information technology, Computer Science, Data Science, or a related fie ld.