Analytics and Data Science Lead
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Tableau?, * 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, 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.
Benefits & conditions
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.