At a Glance
- Tasks: Transform complex data into actionable insights and create impactful dashboards.
- Company: Join a leading consultancy with a focus on AI-driven solutions.
- Benefits: Competitive pay, hybrid work model, and potential for contract extension.
- Other info: Collaborative environment with opportunities for international travel.
- Why this job: Make a real difference by shaping data strategies that drive decision-making.
- Qualifications: Experience in data analysis and strong skills in SQL and Python required.
The predicted salary is between 36000 - 60000 £ per year.
The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focuses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines.
Contract: 6 months (high possibility to extend further)
Location: waterside (UB7 0GB)
Hybrid: 2-3 days onsite
Pay: Premium-level role; competitive rates (inside IR35)
Key Responsibilities:
- Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance.
- Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases.
- Challenge data provenance and assumptions in legacy datasets, reframing against current needs.
- Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders.
- Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust.
- Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics.
- Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes.
- Design, build, and optimise data pipelines for ingestion, transformation, and storage.
- Ensure data quality, integrity, and security controls are applied across systems.
- Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering.
- Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills & Experience:
- Core Data Analytical Capabilities: Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making. Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation. Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases. Comfortable working independently and communicating with non-technical stakeholders.
- Supporting Data Engineering Capabilities: Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design. Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) are preferred. Hands-on experience with cloud platforms, ideally AWS.
- Consulting-Level Competencies: Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Ability to design enterprise-grade data solutions under tight timelines. Strong stakeholder engagement and solution-oriented mindset. Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies. Familiarity with airline or logistics data domains is a plus.
Location & Travel: Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment.
Compensation: Premium-level role; competitive rates aligned with UK consultancy benchmarks.
If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Analyst/ Data Engineer - KPI Dashboard in London employer: Hays Specialist Recruitment Limited
At our company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Analyst/Data Engineer, you will have the opportunity to work in a hybrid environment at our waterside location, collaborating closely with talented professionals while enjoying competitive pay and robust employee growth opportunities. We are committed to supporting your career development through continuous learning and innovative projects that make a real impact in the field of AI-driven solutions.
Contact Details:
Hays Specialist Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst/ Data Engineer - KPI Dashboard in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Analyst/Data Engineer role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with practical projects. Showcase your skills by working on real-world data problems or contributing to open-source projects. This not only boosts your portfolio but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Analyst/Data Engineer roles and practice your responses. Be ready to explain your thought process when tackling data challenges, as this will demonstrate your analytical judgement and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Analyst/ Data Engineer - KPI Dashboard in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analyst/Data Engineer. Highlight your experience with data analysis, processing tools like SQL and Python, and any relevant projects that showcase your ability to turn complex datasets into actionable insights.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past and how your skills align with our needs. Keep it concise but impactful!
Showcase Your Analytical Skills:In your application, emphasise your analytical judgement and stakeholder consultancy skills. We want to see how you've used data to drive decision-making and how you can communicate complex information to non-technical stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with relational databases, flat files like CSV and XLS, and understand their limitations. This will help you articulate how you can turn complex datasets into actionable insights.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where your analytical judgement made a significant impact on decision-making. Highlight your experience with tools like SQL and Python, and be ready to explain how you've tackled data quality issues in the past.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining technical concepts in simple terms. Since this role involves translating business needs into KPIs and dashboards for non-technical stakeholders, being able to communicate effectively is key. Think of examples where you've successfully done this before.
✨Demonstrate Your Collaborative Spirit
This position requires close collaboration with Data Scientists and Visualisation specialists. Be prepared to discuss how you've worked in teams to develop and deploy data solutions. Emphasise your ability to engage stakeholders and drive satisfaction from day one.
