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Posted 05 August, 2026

Data Analyst

Akkodis
Stevenage, ENG, GB Full Time

Job Description

Scope

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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.

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\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

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\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

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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

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  • ls.Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insigh
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  • ts.Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domai
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  • ns.Translate complex datasets into clear visualizations and actionable insights that support decision-maki
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  • ng.Apply data science and AI techniques to enhance analytical outcomes and forecasting accura
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  • cy.Ensure data quality, integrity, and governance across all reporting and analytics activiti
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es.Responsibilit

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  • iesDesign, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insigh
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  • ts.Extract, transform, and integrate data from SaaS applications, APIs, and public data sourc
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  • es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati
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  • on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasti
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  • ng.Design scalable data models and analytics frameworks to support self-service BI and advanced analyti
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  • cs.Collaborate with cross-functional teams to define KPIs, reporting standards, and business metri
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  • cs.Conduct data profiling, validation, and quality assurance to ensure high data integri
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  • ty.Present analytical findings and actionable insights to both technical and non-technical stakeholde
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  • rs.Ensure compliance with data governance, privacy, and regulatory standards across all data initiativ
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es.Required Ski

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  • llsDOMO Expertise: Proven experience building and managing DOMO dashboards, dataflows, connectors, and datase
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  • ts.SaaS Analytics: Experience working with SaaS-based analytics platforms, integrating and reporting on SaaS product or usage da
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  • 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
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  • MO.Data Analytics & Visualization: Advanced SQL proficiency and strong understanding of visualization best practic
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  • es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati
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  • on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh
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  • ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor
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  • ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD
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  • F).Data Governance: Understanding of GDPR, PII, and secure data management principl
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  • es.Communication: Strong data storytelling skills to simplify complex insights for diverse audienc
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  • es.Collaboration: Proven ability to work effectively with engineers, developers, and business leade
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rs.Required Experie

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  • nceMinimum 5+ years of experience in data analytics, BI, or data science, preferably within SaaS-based environmen
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  • ts.At least 2+ years of hands-on experience with DOMO (dashboards, datasets, dataflows, connector
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  • s).Demonstrated experience extracting and integrating data from SaaS applications, APIs, and public data sourc
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  • es.Proven record of delivering data-driven insights, advanced analytics, and predictive mode
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  • ls.Experience implementing AI or machine learning solutions for business intelligence is an advanta
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  • ge.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related fie
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  • ld.Certifications in DOMO, AWS, Azure, or Data Analytics are highly prefer
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redRequired educat

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  • ionBachelor’s degree in information technology, Computer Science, Data Science, or a related fie
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