Business Data Steward - OPs at easyJet

, , -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Delivery, Data Governance, Agile Methodologies, Statistical Process Control, SQL Proficiency, Collaboration, Communication, Analytical Skills

Industry

Airlines and Aviation

Description

Business Data Steward - OPs Luton/Hybrid TEAM The Operations Insights & Improvements is an analytics function that delivers data products and solutions to help business users achieve their goals. Our stakeholders span the full breadth of the Operation domain, including Engineering, Ground Ops, Crew planning, the Ops Strategy team and others. We are seeking a Data Steward to support establishing the context for our data and ensuring that the data we produce is fit for consumption. As such, the successful candidate will play a pivotal role in shaping the organisation’s data strategy impacting operational planning and delivery JOB PURPOSE The Business Data Steward is a role centred on managing and ensuring the integrity of Commercial data across various platforms and compliance with legal standards like GDPR. Key responsibilities include implementing data quality rules, documenting metadata, integrating master data, and generating insightful reports. The candidate should have experience working with SQL, conducting comprehensive data analysis, and possesses skills in project delivery, data governance, and effective communication. As the role is embedded within the Commercial department, experience in an airline or a similarly strategic business environment is a significant advantage. JOB ACCOUNTABILITIES Data Quality Management: • Develop and implement Data Quality rules. • Monitor data integrity using Data Quality tools. • Identify, report, and analyse Data Quality issues. Metadata Management: • Collect and document table and column descriptions, business terms, KPIs. • Facilitate the integration of metadata into the Data Catalogue (tool implementation forthcoming). Master Data Management and Reference Data Management: • Gather master data and reference data. • Ensure integration with the Master Data Management tool. Data Compliance: • Ensuring that data management practices comply with relevant laws, regulations, and standards, such as GDPR (General Data Protection Regulation) or industry-specific requirements. Data Reporting and Analysis: • Assist in the development of reports that provide insights to business stakeholders. Support data analysis and decision-making processes with accurate and timely data. Stakeholder Engagement: • Collaborate with various stakeholders across the organisation to identify and meet data requirements. Act as a bridge between technical teams and business units to ensure data-related needs are addressed. GENERAL COMPETENCIES • Ownership and Delivery: Has a clear focus to deliver results, working to targets, reviewing progress and adapting their plans accordingly, motivating themselves/the team to achieve. • Innovation and Change: Is open to new ways of doing things and questions existing approaches, views change as an opportunity, comfortable working in a dynamic and ambiguous environment. • Building Relationships: Expresses ideas confidently and clearly, builds positive and constructive relationships with others, gets to know colleagues within their own team and supports them to ensure team goals are achieved. DATA COMPETENCIES • Proficient in SQL and additional programming languages used for data analysis. • Experienced in conducting comprehensive data analysis. • Skilled in gathering and defining project requirements. KEY SKILLS REQUIRED • Project Delivery: Focused on leveraging and delivering reusable data assets to drive value and differentiation in the marketplace. • Data Governance: Experience in data governance, managing interactions across various data disciplines to ensure consistent, high-quality data delivery. • Agile Methodologies: Familiarity with Agile and DataOps practices. • Statistical Process Control: Capable of implementing and managing controls for data quality measurement and remediation. • SQL Proficiency: Strong skills in writing efficient SQL queries for large datasets in distributed data environments. • Collaboration: Proven ability to work effectively across different data roles and organizational levels. • Communication: Excellent communication skills, adept at explaining complex technical details to non-technical stakeholders. • Analytical Skills: Strong background as an Analyst, with experience in all phases of project delivery. What you’ll get in return: At easyJet, we pride ourselves on a vibrant and inclusive workplace culture that supports and rewards innovation and excellence. We offer: · Competitive base salary with up to 20%25 bonus potential. · 25 days holiday, pension scheme, life assurance, and a flexible benefits package. · Discounted staff travel scheme for friends and family · Annual credit for discount on easyJet holidays · ‘Work Away’ scheme, allowing you to work abroad for 30 days a year · Electric vehicle lease salary sacrifice scheme Location & Hours of Work We operate a hybrid working policy of 60%25 of the month spent with colleagues. We look forward to your application and the possibility of you flying high with our team! Application Process: Interested candidates should apply through our careers portal. Reasonable Adjustments: At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation #LI-CH1 #LI-HYBRID

Responsibilities

The Business Data Steward is responsible for managing and ensuring the integrity of Commercial data across various platforms. This includes implementing data quality rules, documenting metadata, and generating insightful reports.