Data and Analytics Strategist
4 weeks ago
As a key member of the PCR team, the Data and Analytics Strategist will lead the development and implementation of data-driven strategies to drive business outcomes. This includes data analysis, visualisation, modelling, mining, KPI definition, and data storytelling to support PCR priorities.
The role will add data/analytics value, particularly in the Process Improvement arena, by determining the approach, aiding data gathering, and informing solution development using a variety of tools. The Data and Analytics Strategist will oversee and assure project deliverables, ensuring focus on business outcomes and benefits.
Key responsibilities include:
- Leading and delivering data/analytics services for the PCR Solutions portfolio, integrating with Process Improvement/Business Change initiatives to maximise their effectiveness
- Effective internal and external stakeholder engagement to understand requirements, inform project scope/delivery, and track benefits realisation
- Developing and maintaining data models, ensuring timely updates in line with agreed process changes
- Ownership of analytical products and their roadmaps for the PCR team
- Timely project delivery, maintaining oversight of schedules and risk management, steering of project deliverables, and team workload prioritisation, including supplier onboarding and management where required
- Ensuring data/analytical solutions delivered are in line with Heathrow strategies and policies (GDPR, Heathrow brand, storage) and have a clear business owner
- Experience in leading and delivering data/analytics projects, with demonstrable application of data/analytics in Process Improvement initiatives
- Experience in Data Wrangling, Data Visualisation, Data Storytelling, Data Modelling, and Data Governance
- A proven track record of delivery using Business Intelligence tools and techniques (such as PowerBI)
- Ability to read and review programming scripts (R, Python, DAX, or a desire to learn)
- Ability to address complex challenges in a structured, logical, and analytical manner with recommendations being supported by data and facts, using sound judgement and decision making
- Strong stakeholder management and communications with an ability to cut through complexity and communicate complex data to analytical and non-analytical audiences
- A commitment to quality deliverables while balancing competing priorities
Requirements:
- Experience in Minitab, Data Mining, Machine Learning, and cloud technologies such as Databricks
- Experience in agile delivery management and Lean/Six Sigma methodologies and statistical analysis tools
- Airport Operations, Customer Service, or Data Strategy experience
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