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SalaryLooking for a challenge in one of the world’s largest airfreight logistics organisations?
At IAG Cargo, we’re in the business of moving things. From antibiotics and rhinoceroses to gold bullion, avocados, and everything in between, whatever people need, wherever they are, IAG Cargo is there to bring them the necessary and niche.
As the logistics and cargo brand of International Airlines Group, you’ll work across the globally recognised brands of Aer Lingus, British Airways, Iberia, Level and Vueling.
As well as helping to keep the world’s economies turning, we believe in building a great place for our colleagues to work. Our people are determined, curious, collaborative and take huge pride in everything they do.
The role:
Data Analyst
Become a vital part of a passionate team who are enabling IAG Cargo to make critical business decisions using leading edge data analytics. Bring a new perspective on data and how it can be used to solve challenges across the organisation. Your output will be essential in enabling insight driven decision-making within the business.
Partnering with core business areas our team of Data Analysts will own a blended portfolio of analytical consultancy for smaller ad hoc and larger business driven projects, regular reports and dashboards feeding business processes. Each analyst will be responsible for providing a robust and reliable source of management information, delivering excellence in data visualisation, analytics and maintaining the quality of IAG Cargo’s data through continuous improvement.
The analyst should have a strong enthusiasm for problem solving and a passion for data. They will be expected to provide analytical expertise, seek to identify data gaps and proactively develop the data agenda in line with business priorities as well as challenge business leaders to become truly data-driven. A positive thinker with plenty of curiosity would be ideal for this role.
What you’ll do:
- Partner with a core business area, gain a deep understanding of their data, reporting, visualisation and analysis needs.
- Contribute to managing a portfolio of dashboards, visualisations and data sources.
- Triage and assess assigned analytics projects.
- Work with relevant stakeholders in assigned area develop understanding assigned projects.
- Provide analytical expertise, bespoke analyses, and support insight driven decision making.
- Structure problems and design and develop analytics products to inform decision making.
- Identify options for solving analytical problems and recommend optimal approach.
- Break development activities down into tasks, estimate delivery time and identify risks.
- Support stakeholder consultation and communication of ideas and approaches.
- Provide deep insight for critical business questions using a variety of analytical tools e.g. SQL, Tableau, Python and Excel.
- Identify and support data quality improvement initiatives.
- Ensure the highest level of accuracy is maintained in delivery.
- Collaborate with data management and IT teams to resolve data quality issues.
- Interface with data engineers to support delivery of data pipelines for exploitation.
- Maintain awareness of developments in analytics tools, techniques and applications.
- Share knowledge and skills within the team and business area.
What you’ll bring to IAG Cargo:
- Highly analytical, logical, creative thinker.
- Proven ability to structure problems.
- Able to refine and clarify vague requirements.
- Experienced in delivering metrics, analyses and visualisations.
- Can prioritise workloads and manage tight deadlines
- Stakeholder management and interpersonal skills.
- Communications and presentation to a range of audiences.
- Applies statistics to summarise data, identify trends, forecast, and predict outcomes.
- Interpretation and analysis of business performance to inform decision making.
- Project management and planning.
- Highly effective team worker
- Strong business acumen and commercial awareness
- Technical skills: Data analysis, visualisation.
Your experience:
- Analysing complex issues, packaging findings and presenting effectively to stakeholders
- Managing databases and/or blending data
- Designing data for management information purposes
- Hands on programming experience
- Visualising data and presenting trends and findings for broad audiences
Desirable Experience
- Creating and using numerical models and solving optimisation problems
- Tableau Certified
- Root cause analysis
- Use of cloud-based data tooling e.g. AWS S3, Snowflake
- Working knowledge of data engineering pipelines
- Working knowledge of Spanish
- Use of IAG Cargo’s specific analytical tools: Tableau, SQL, Python, Business Objects
What we offer:
Wherever you work within IAG Cargo, you’ll play a part in connecting people and countries and join a diverse and inclusive business that’s making a difference to the future of aviation.
Colleagues working for IAG Cargo:
- Benefit from attractive and competitive rewards aligned to the local market and role.
- From the day you join us, you’ll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways and group airlines. You’ll also receive up to 30 discounted ‘Hotline’ airfares per year for yourself, friends, and family.
- Work with diverse colleagues in a business that truly values inclusion and diversity.
- Are valued for their ideas and opinions.
- Benefit from opportunities for development and progression.
- Are able to support communities across the world, and close to home.
- Work in an environment in which safety and wellbeing are paramount.
Equity, Diversity and Inclusion
Our recruitment procedures positively support our equity, diversity, and inclusion agenda.
All candidates are considered strictly on their merits in relation to the criteria for the role, treated fairly and consistently and have their individual needs responded to throughout the process.
Please advise us if you require any reasonable adjustments to take part in the recruitment process so we’re able to remove any barriers that may present themselves.
To apply for the position of Data Analyst, please use the ‘apply now’ function.
