Data analyst

LA International Computer Consultants Ltd; England; On-site; GBP 80,000 - 100,000; Full time

Job summary

A data consultancy firm in the UK is seeking a Data Analyst who will ensure data quality and governance across critical operational datasets. Responsibilities include defining data standards, collaborating with stakeholders, and ensuring compliance with industry regulations. Ideal candidates will have strong experience in data observability and metadata management, with excellent communication skills. The role requires 2-3 days onsite in Luton and is expected to last for 6 months.

Qualifications

• Strong experience with data observability and quality monitoring.
• Proficiency in metadata management, cataloging, and lineage tracking.
• Solid understanding of data governance, master data management, and data lifecycle practices.
• Familiarity with airline/aviation operational data preferred.
• Excellent communication skills.

Responsibilities

• Define and enforce data governance standards, policies, and processes.
• Monitor and ensure data accuracy, completeness, and consistency.
• Leverage Monte Carlo for data observability and quality.
• Work with data engineering teams on validation and detection frameworks.
• Provide training and guidance to business users.

Skills

Data observability and quality monitoring

Metadata management

Data governance

Master data management

Communication skills

Job description

Role: Data analyst

Rate: Inside IR35

Location: 2-3 days onsite in Luton

Duration: 6 months initially

Data Steward will be responsible for ensuring data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role will focus on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted data.

Key responsibilities

Data Governance & Stewardship

• Define and enforce data governance standards, policies, and processes across airline operational datasets.
• Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines.
• Maintain data dictionaries, metadata, and lineage within Atlan.

Data Management & Quality

• Be the technical lead for the Data Management and Quality. Develop the technical designs of all Data Management frameworks and operating models and ensure that are embedded in our people, tools, and business processes. Monitor use of all the data management frameworks and operating models across the organisation to ensure compliance with the data management best practice defined internally at customer Data Quality & Reliability
• Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems.
• Leverage Monte Carlo for data observability-proactively detecting, resolving, and preventing data quality issues.
• Work with data engineering teams to establish data validation, profiling, and anomaly detection frameworks.
• Stakeholder Engagement & Support.
• Act as a bridge between business and technical teams, ensuring alignment of data requirements.
• Provide training and guidance to business users on accessing and using trusted datasets.
• Support airline operations by ensuring operational reports and dashboards are built on consistent, high-quality data.
• Facilitate data lifecycle management (from ingestion to archival) while ensuring compliance with airline industry standards.
• Ensure adherence to aviation regulatory requirements, data privacy, and security standards.
• Maintain access controls and data-sharing policies in line with organizational and industry guidelines.

Key skills / knowledge / experience

• Strong experience with data observability and quality monitoring.
• Proficiency in metadata management, cataloging, and lineage tracking.
• Solid understanding of data governance, master data management, and data lifecycle practices.
• Familiarity with airline / aviation operational data (crew, scheduling, flight ops, maintenance) preferred.
• Excellent communication skills to collaborate with IT teams, analysts, and business stakeholder.