Overview:

The Senior Data Analyst will report to the Analytics manager, who reports to the VP of Data & Analytics. This is a very exciting high visibility role where a candidate will get an opportunity to work across a unique portfolio of analytics challenges. The role of the Senior Data Analyst is to partner with business stakeholders and to work closely with the Data Engineering team to drive the consistency of information, implementing common frameworks and the reuse of information with a consistent approach to dashboard visualisations and metrics across the enterprise. The role is tasked with driving data quality and the responsible use of data across the enterprise, as well as the provision of training to help enable the democratisation of data through self-service. They will own the product roadmap for daa’s data visualisation toolset, ensuring the tools meet the current and future needs of business users and to drive innovation in how our data assets are consumed. We are looking for an experienced thought leader who has the capability to work across the full daa business portfolio, including airport operations, local & international retail businesses, HR, and Commercial ventures. As well as excellent technical skills, the ideal candidate will have a passion for analytics, strong business acumen and excellent stakeholder management skills.

This is a permanent role and will be recruited on a personal contract.

Key Responsibilities:

• Work with key stakeholders and partner with the business to deliver appropriate data visualisation projects through all stages of the project life cycle: Design, requirements gathering, data validation & exploration, building analytics solutions and presenting key insights to business users to support data-driven decision making.
• Drive the development, monitoring, review, and evaluation of new metrics, KPIs, key risk indicators, reports & dashboards, utilising data discovery techniques across complex data sets.
• Provide direction and design to strategic business programmes ensuring analytics requirements are captured and data visualisations are in place to help the business make informed decisions.
• Drive a culture of continuous analytics improvement to advance data literacy across the organisation providing training programmes and support to business users to drive self-service adoption, analytics forum etc.
• Work closely with the Analytics Manager and Data Engineering Manager to manage business unit roadmaps ensuring projects are prioritised accordingly to ensure the reporting and analytics pipeline is full of the “right things” and reviewed regularly to drive and maximise value from data.
• Work across several analytics projects, managing stakeholders and acting as scrum master, co-ordinating agile development cycles between business resources and the technical development teams.
• Product owner responsible for Business Analytics Toolset and data governance. Drive the strategic direction of technology for new tools and systems and adoption of best practice.
• Responsible for end user support and overall oversight in terms of managing data queries, addressing key paint points across the organisation.
• Perform deep dive analysis with a view to delivering opportunities for revenue growth, operational efficiencies, and improved customer & passenger experience.

Knowledge, Skills and Experience:

• Have at least 4 years’ experience in analytics’ roles, preferably dealing with diverse types of data - customer, transactional, operational, etc.
• Hold a relevant primary degree (preferably post-graduate qualification) in a relevant field of study - mathematics, computer science, statistics, operations research, etc.
• Expert knowledge of advanced visualisation techniques, reporting tools, analytical deep dives, and data modelling. g., Power BI, Targit, Tableau, Qlik, etc.
• Expert knowledge of data management and advanced analytics techniques used in the process of collecting, storing, and retrieving data. e.g., SQL, R, Python, SAS, VBA
• Previous experience using MS Cloud technologies e.g., Azure platform, Synapse, Databricks, Azure Data Factory.
• Excellent leadership, interpersonal and communications skills with the ability to influence and persuade others to think differently.
• Regular experience & exposure in influencing senior business stakeholders on an ongoing basis and the ability to build strong networks.
• High energy individual and innovative thinker who can see the possibilities of how to use data to approach business problems in new ways.
• Ability to communicate and explain complex technical concepts and quantitative methods to a wide audience.
• Commercial awareness and business process understanding.
• Excellent ability to analyse, assimilate and interpret large amounts of data and make recommendations quickly and effectively.
• Excellent attention to detail and ability to prioritise workstack.
• Experience of Agile project management methodologies and delivery experience.
• Has a “can do” attitude with the ability to lead a team to deliver a broad range of complex tasks in an efficient and effective manner.
• Results based, with focus on pragmatic delivery for the business.
• Committed to daa values.