Data Analyst/ Data Engineer - KPI Dashboard

Role Purpose

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 focusses 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.
• (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools)
• (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.

What you need to do now

If you're 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. #4752864 - Anushka

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.
• (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools)
• (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.

Premium-level role; competitive rates aligned with UK consultancy benchmarks.