At a Glance
- Tasks: Drive data analytics and create impactful dashboards using DOMO and modern data science tools.
- Company: Join a forward-thinking tech team transforming the public sector's workforce.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be part of a high-impact initiative shaping the future of data-driven recruitment.
- Qualifications: 5+ years in data analytics with strong DOMO and programming skills.
The predicted salary is between 63000 - 77000 £ per year.
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 Saa S-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 ole As 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, Saa S 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
- ies Design, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insigh
- ts. Extract, transform, and integrate data from Saa S 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
- lls DOMO Expertise: Proven experience building and managing DOMO dashboards, dataflows, connectors, and datase
- ts. Saa S Analytics: Experience working with Saa S-based analytics platforms, integrating and reporting on Saa S 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
- nce Minimum 5+ years of experience in data analytics, BI, or data science, preferably within Saa S-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 Saa S 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 red Required educat
- ion Bachelor’s degree in information technology, Computer Science, Data Science, or a related fie ld.
Data Analyst in Watford employer: Akkodis
Join a leading defence and technology organisation in Stevenage as a Principal Commercial Officer, where you will thrive in a collaborative work culture that values your contributions and supports your professional growth. With competitive salaries, excellent benefits, and hybrid working arrangements, this role offers the unique opportunity to engage with nationally significant programmes while developing your career in a complex and regulated environment. Experience a workplace that prioritises continuous improvement and fosters strong stakeholder relationships, making it an ideal setting for those seeking meaningful and rewarding employment.
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We think this is how you could land Data Analyst in Watford
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Akkodis.
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We think you need these skills to ace Data Analyst in Watford
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
