Data Analyst

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., 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.

• 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 & Visualisation: Advanced SQL proficiency and a strong understanding of visualisation best practices.
• Programming & Data Science: Hands-on experience with Python or R for analytics, modelling, 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, with the ability to simplify complex insights for diverse audiences.
• Collaboration: Proven ability to work effectively with engineers, developers, and business leaders., * Minimum of 5+ years’ experience in data analytics, BI, or data science, preferably within SaaS-based environments.
• At least 2+ years of hands-on experience with DOMO, including dashboards, datasets, dataflows, and connectors.
• Demonstrated experience extracting and integrating data from SaaS applications, APIs, and public data sources.
• Proven track record of delivering data-driven insights, advanced analytics, and predictive models.
• Experience implementing AI or machine learning solutions for business intelligence is advantageous.
• 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 preferred.

Required Education

• Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.