Role PurposeThe 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 focusses on turningplex, 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;petitive rates (inside IR35)Key Responsibilities
1. 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.
2. Identify, investigate, and clearly articulate data quality,pleteness, and consistency issues, including their downstream impact on analytics and AI use cases.
3. Challenge data provenance and assumptions in legacy datasets, reframing against current needs
4. Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders.
5. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust
6. Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics.
7. Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes.
8. Design, build, and optimise data pipelines for ingestion, transformation, and storage.
9. Ensure data quality, integrity, and security controls are applied across systems.
10. Apply cloud and data‑engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over‑engineering
11. Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills & ExperienceCore Data Analytical Capabilities
12. Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision‑making
13. Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation
14. Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases
Supporting Data Engineering Capabilities
15. Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design
16. Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
17. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks.
18. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools)
19. (Preferred) Hands-on experience with cloud platforms, ideally AWS
Consulting-Levelpetencies
20. Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
21. Ability to design enterprise-grade data solutions under tight timelines.
22. Strong stakeholder engagement and solution-oriented mindset.
23. Track record of creating high-impact oues and driving stakeholder satisfaction from day one.
24. Ability to implement standards and frameworks for scalable data solutions across multiple operatingpanies.
25. Familiarity with airline or logistics data domains is a plus.
Location & Travel
26. Initial co-location with client teams in London is essential to ensure close collaboration.
27. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment.
Premium-level role;petitive rates aligned with UK consultancy benchmarks.