Lead Data Analyst

Description

Key Responsibilities

•  Over time Lead and manage a team of 2-5 analysts, providing direction, support, and guidance to ensure high-quality work.       
• Manage our day-to-day relationship with several vendors, including our digital analytics supplier, Piano Analytics. 
• You will be responsible for the strategy, design and implementation of our digital analytics and tag management. 
• You will be a key liaison point for our product team to ensure analytics are embedded into their ways of working across product strategy, development and QA testing.         
• Work with our product teams to lead the development A/B testing frameworks supervise the implementation and management of A/B testing software.          
•  Develop and maintain a reporting framework to track KPIs, monitor business performance, and identify areas for improvement.        
• Responsible for the management of our Customer Data Platform to deliver audience segments to power targeted advertising and digital marketing.          
• Provide insights and data products to support decision-making across the business (VOD, Linear TV, Marketing, Commercial etc) working in close collaboration with our Insight & Strategy team.          
• Stay up to date with industry trends and best practices in digital analytics, analysis methods, data modelling, and visualization tools.           
• Responsible for leading training initiatives for analytics & visualisation. This will include training for digital analytics, statistical methods, Tableau and any other tools shared beyond the data team.  

Skills, Knowledge and Expertise

• Substantial experience managing a team of analysts
• Proven experience in managing digital analytics (e.g. Adobe Analytics, GA360) and tag management, including vendor and supplier relationshipsStrong knowledge of A/B testing, statistics and wider measurement & data analysis methodologies. 
• Able to simplify complex problems into component parts and deal with them systematically
• Able to effectively delegate, manage your own time and prioritise accordingly often working on multiple projects simultaneously 
• Significant experience in using one or more scripting languages (e.g. SQL, R, Python) to analyse consumer behaviour
• Familiarity with cloud-based data storage and analytics platforms such as Snowflake, Databricks and AWS
• Able to develop strong relationships with senior stakeholders and manage their needs. 
• Adept at collaborating across departments
• Able to communicate effectively using both technical and non-technical language as appropriate to stakeholders at all levels. 
• Strong attention to detail, great critical thinking skills and ability to work under pressure 

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