At a Glance
- Tasks: Transform complex data into actionable insights and develop interactive dashboards.
- Company: Join Akkodis, a leader in digital transformation for the UK public sector.
- Benefits: Competitive salary, benefits package, and long-term career growth opportunities.
- Other info: Collaborate with skilled teams and influence the design of a modern data platform.
- Why this job: Make a real impact on a nationally significant programme using cutting-edge analytics and cloud technologies.
- Qualifications: Strong DOMO and SQL skills, with experience in data integration and visualisation.
Akkodis is seeking a Senior Data Analyst / Data Analytics Engineer to join a newly established team delivering a major UK public sector digital transformation programme. This is an exciting opportunity to work on a large-scale, data-driven platform that will support critical workforce and talent initiatives. You'll play a key role in transforming complex data into actionable insights, helping stakeholders make informed decisions through advanced analytics, reporting, and data science.
Working at the intersection of data analytics, business intelligence, and modern cloud technologies, you'll help design and deliver innovative solutions that have a meaningful impact on a nationally significant programme.
What You'll Be Doing
- Design, develop, and maintain interactive DOMO dashboards and reporting solutions.
- Extract, transform, and integrate data from multiple sources including SaaS applications, APIs, and public datasets.
- Build and optimise ETL/ELT pipelines to support scalable analytics and reporting.
- Develop data models and analytics frameworks that enable self-service reporting and business intelligence.
- Apply advanced analytics, forecasting, and data science techniques to identify trends and opportunities.
- Collaborate with business and technical stakeholders to define KPIs and reporting requirements.
- Present insights and recommendations to senior stakeholders in a clear and engaging manner.
- Ensure high standards of data quality, governance, security, and compliance.
What We're Looking For
Essential Skills & Experience
- Strong hands-on experience with DOMO, including dashboards, datasets, dataflows, and connectors.
- Advanced SQL skills.
- Experience using Python or R for analytics, automation, or modelling.
- Proven experience integrating data from multiple sources, including APIs and SaaS platforms.
- Experience designing and developing ETL/ELT processes and data pipelines.
- Strong data visualisation and storytelling skills.
- Excellent stakeholder management and communication abilities.
- Ability to translate complex data into meaningful business insights.
Desirable
- Experience with predictive analytics, machine learning, or AI technologies.
- Exposure to AWS or Azure data platforms.
- Knowledge of data governance, GDPR, and secure data management practices.
- Experience working within large-scale transformation or government programmes.
- Relevant certifications in DOMO, AWS, Azure, or Data Analytics.
About You
You'll be a commercially minded data professional who enjoys solving complex problems and driving decisions through data. You will be comfortable working across both technical and business teams, combining strong analytical skills with the ability to communicate insights effectively to a range of audiences.
What's on Offer
- Opportunity to join a major national transformation programme.
- Work with cutting-edge analytics, cloud, and AI technologies.
- Collaborate with highly skilled technical and business teams.
- Genuine opportunity to influence the design and delivery of a modern data platform.
- Competitive salary and benefits package.
- Long-term career growth within a global technology and engineering consultancy.
If you're an experienced Data Analyst, Analytics Engineer, or BI professional with strong DOMO expertise and a passion for delivering impactful insights, we'd love to hear from you.
Data Analytics Engineer - DOMO, SQL in Stevenage employer: Akkodis
As a Power Platform Architect with us, you'll join a forward-thinking organisation in London that values innovation and collaboration. We offer a dynamic hybrid work environment, competitive daily rates, and a culture that fosters professional growth through challenging projects and continuous learning opportunities. Our commitment to employee development and a supportive atmosphere makes us an excellent employer for those seeking meaningful and rewarding careers in business intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer - DOMO, SQL in Stevenage
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We think you need these skills to ace Data Analytics Engineer - DOMO, SQL in Stevenage
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Akkodis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Akkodis
✨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 a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Akkodis!
✨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.
