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Scope
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.
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.
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 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.
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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 optimize data pipelines and ETL workflows for efficient and accurate data movement and transformation.
- Apply data science and AI techniques (predictive modeling, 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 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 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.
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Required Experience
- Minimum 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 preferred.
Required Education
- Bachelor’s degree in information technology, Computer Science, Data Science, or a related field.
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