Data Analyst in Stevenage

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 landscap

e.
R

oleAs part of this mission, t he Data Analyst / Data Analytics Engin eer will play a key role in driving Data Analytics, Reporting, and Insight generation usi ng D OMO and modern data science too

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

es.Responsibilit

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

es.Required Ski

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

rs.Required Experie

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

redRequired educat

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