Analytics and Data Science Lead
Analytics and Data Science Lead

Analytics and Data Science Lead

Full-Time 36000 - 60000 £ / year (est.) No home office possible
IAG Cargo

At a Glance

  • Tasks: Lead a team to harness data analytics for impactful business decisions.
  • Company: Join IAG Cargo, a global leader in airfreight logistics.
  • Benefits: Enjoy hybrid work, travel perks, and wellness support.
  • Why this job: Make a real difference by driving data-driven insights in a dynamic environment.
  • Qualifications: Strong analytical skills and experience in data management required.
  • Other info: Be part of a diverse team committed to innovation and growth.

The predicted salary is between 36000 - 60000 £ per year.

14 Month Maternity Cover

Looking for a challenge in one of the world’s largest airfreight logistics organisations? At IAG Cargo we are in the business of moving things. From antibiotics to rhinoceros, gold bullion to avocados and everything in between. Whatever people need, wherever they are. In an era of digital screens and closed borders, we open the skies and fly the world to bring people the things they really need. We are the logistics and cargo brand of International Airlines Group (Aer Lingus, British Airways, Iberia, Level and Vueling). At IAG Cargo, we believe in keeping the world’s economies turning, and do everything with determined attitudes, curious minds, collaborative actions and heartfelt pride. Join us at our globally recognised logistics business, where we are building a great place to work for customers and colleagues alike.

About the role

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. The role involves managing a team to deliver leading edge data exploitation, analysis and modelling. Your team will own a portfolio of reports, models and dashboards, provide analytical expertise and act as champions for data development needs. You will lead the team to deliver robust and reliable data and advanced analytical solutions for the business and maintain the quality of IAG Cargo’s management information through continuous improvement. The analytics and data science lead 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

  • Manage a team of data analysts.
  • Capture analytics demand and estimate resource required.
  • Plan, manage and communicate analyst capacity against demand pipeline.
  • Lead data and analytics work packages in delivery projects.
  • Design and manage the delivery process and framework for analysts to manage demand.
  • Work with core business areas to gain a deep understanding of data and analysis needs.
  • Jointly develop departmental data strategies covering up to 5 years.
  • Manage analytics development across multiple business area portfolios.
  • Structure problems and design and develop analytics products to inform decision making.
  • Identify options and size benefits and risks for solutions.
  • Provide internal consultancy skills, analytical expertise, bespoke analyses, and promote insight driven decision making.
  • Work alongside data engineers to create data pipelines for delivering analytics products.
  • Present data driven insights to audiences of all levels.
  • Consult and bring together stakeholders at all levels of the business to gain buy-in to ideas and approaches.
  • Identify, prioritise and advance data quality improvement plans.
  • Co-ordinate data quality improvement across data, IT and business teams in line with data strategies and priorities.
  • Manage and develop the advanced analytics capability, encompassing the application of operational research and data science techniques.
  • Develop data literacy by designing training, creating and maintaining content, and managing a central knowledge repository for data.
  • Keep abreast of developments in analytics tools, techniques and applications.
  • Identify and introduce appropriate and relevant analytical tools and techniques.
  • Coach and mentor data analysts in the team to support development of their skills.

It’s all about you

What you’ll bring to IAG Cargo:

Skills
  • Effective at people management.
  • Highly analytical, logical, creative thinker.
  • Proven ability to structure problems.
  • Able to refine and clarify vague requirements.
  • Experienced in delivering metrics, analyses, visualisations, and statistical models.
  • Ability to lead the direction of analytical projects.
  • Can prioritise workloads and manage tight deadlines.
  • Strong stakeholder management, influencing and interpersonal skills.
  • Ability to communicate and present to all levels.
  • Interpretation and analysis of business performance to inform decision making.
  • Applies statistics to summarise data, identify trends, forecast, and predict outcomes.
  • Project management and planning.
  • Highly effective team worker.
  • Strong business acumen and commercial awareness.
Technical skills:
  • Data analysis, visualisation, statistical modelling, predictive analytics.
Qualifications
  • Numerate Degree or relevant equivalent experience.
Experience
  • Essential Experience:
  • Analysing complex issues, packaging findings and presenting effectively to stakeholders.
  • Managing databases and/or blending data.
  • Designing data for management information purposes.
  • Leading the direction of analytical projects.
  • Working knowledge of data engineering pipelines.
  • 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.
    • Use of cloud-based data tooling e.g. AWS S3, Snowflake.
    • Working knowledge of Spanish.
    • Use of IAG Cargo’s specific analytical tools: Tableau, SQL, Python, Business Objects.

    We’ll treat you right

    Wherever you work within IAG Cargo, you’ll play a part in helping us deliver what the world needs and join a diverse and inclusive business that’s making a difference. As well as a competitive salary, bonus, we offer a range of benefits to support our colleagues, which include:

    • A hybrid environment with 3 days a week in the office and two from home.
    • 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.
    • Flexible bank holiday policy - Individuals not on shift have the flexibility to swap the statutory public holidays, with the days you choose to take off instead.
    • All our colleagues get access to LinkedIn learning and Rosetta Stone Language courses.
    • For health and wellbeing we offer a free onsite gym facility as well as access to the UNMIND app and a community of Mental Health First Aiders.
    • Access to discounts on Apple, Cinema tickets and loads of other goodies through Perks at work.

    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.

    Analytics and Data Science Lead employer: IAG Cargo

    IAG Cargo is an exceptional employer that fosters a dynamic and inclusive work culture, where employees are empowered to make impactful decisions through innovative data analytics. With a strong commitment to employee growth, we offer extensive training opportunities, flexible working arrangements, and unique travel benefits, making it an ideal place for those seeking a rewarding career in the logistics sector.
    IAG Cargo

    Contact Detail:

    IAG Cargo Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Analytics and Data Science Lead

    ✨Tip Number 1

    Network like a pro! Reach out to current or former employees at IAG Cargo on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

    ✨Tip Number 2

    Prepare for the interview by diving deep into IAG Cargo's values and recent projects. Show us how your skills in data analytics can directly impact their mission of moving things around the globe.

    ✨Tip Number 3

    Practice your presentation skills! You’ll need to communicate complex data insights clearly. Try explaining your past projects to friends or family to get comfortable with your delivery.

    ✨Tip Number 4

    Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

    We think you need these skills to ace Analytics and Data Science Lead

    Data Analysis
    Statistical Modelling
    Predictive Analytics
    Data Visualisation
    Project Management
    Stakeholder Management
    Problem Structuring
    Analytical Expertise
    Team Management
    Communication Skills
    Data Quality Improvement
    Data Engineering Pipelines
    Programming (Python, SQL)
    Cloud-based Data Tooling (AWS S3, Snowflake)
    Training and Development

    Some tips for your application 🫡

    Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the role of Analytics and Data Science Lead. We want to see how you can bring a fresh perspective to our data challenges!

    Showcase Your Passion for Data: In your application, let us know about your enthusiasm for problem-solving and data analytics. Share specific examples of how you've used data to drive decisions or improve processes in your previous roles.

    Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity!

    Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

    How to prepare for a job interview at IAG Cargo

    ✨Know Your Data Inside Out

    Before the interview, dive deep into the data analytics tools and techniques mentioned in the job description. Familiarise yourself with SQL, Python, and any specific tools like Tableau that IAG Cargo uses. Being able to discuss your hands-on experience with these tools will show your technical prowess and readiness for the role.

    ✨Showcase Your Leadership Skills

    As this role involves managing a team, be prepared to share examples of how you've successfully led teams in the past. Highlight your people management skills and how you've motivated your team to deliver high-quality analytics. This will demonstrate your capability to lead and inspire others at IAG Cargo.

    ✨Prepare for Problem-Solving Questions

    Expect questions that assess your analytical thinking and problem-solving abilities. Prepare to discuss specific challenges you've faced in previous roles and how you structured problems to find effective solutions. This will showcase your logical and creative thinking, which is crucial for the Analytics and Data Science Lead position.

    ✨Engage with Stakeholders

    Since stakeholder management is key in this role, think of examples where you've successfully communicated complex data insights to non-technical audiences. Be ready to discuss how you’ve influenced decision-making through your analyses. This will highlight your interpersonal skills and ability to bridge the gap between data and business needs.

    Analytics and Data Science Lead
    IAG Cargo

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