Manager Data Analyst

This role reports to Team Lead – Knowledge & Insights

3 best things about the job:

• An enjoyable environment that combines the best of your skills whilst at the same time being part of the largest marketing services group in the world
• Working within a network of hundreds of analysts worldwide in areas such as statistics, optimization, machine learning, programming, Campaign Reporting, marketing mix modelling, Causal analysis, Attribution modelling and Forecasting.
• Work diversity that involves liaising with internal and external stakeholders across a range of disciplines, solving business problems for clients

In three months:

• Be up to speed with the Advanced Analytics team value proposition and able to articulate this confidently
• Start to build relationships with the key decision makers in the team and agency
• Build data sets for modelling related work including data manipulation, data cleansing, and organization.
• Provide structured data to your line manager
• Be confident using our available range of tools and software to organize data
• Start to work on your own allocated projects and ad hoc requests

• Become a key support for your line manager and peers
• Fully work on a project under your line manager’s guidance from start to end including delivery of results
• Become a nominated champion in your area of expertise

• Using data analysis techniques to identify insights, identify opportunities and solve business problems for clients
• Proactively build, clean and manage datasets
• Orchestrate automation of tasks to speed up solutions for clients
• Keep up to date with advances in marketing/media analytics & trends
• Constantly provide support to your line manager and peers and respond to ad hoc requests
• Ensure that projects are on track as per deadlines
• Engage with other internal Wavemaker teams to share knowledge
• Build strong relationships with several mid-level clients
• Generate monthly reports with accuracy and on time.
• Identify, analyze, and interpret media trends or patterns.
• Consolidate all media investment and GRPs data.
• Acquire data from secondary data sources and maintain databases/data systems.
• Perform post-analysis of categories and provide valuable insights.
• Work closely with vendor partners on data delivery and usage.