Title: Marketing Data Analytics Engineer
Department: Data & Insights
Location: Sheffield or London
Working Pattern: Hybrid, includes 3 days each week in the office
Contact Type: Full time, permanent
Salary: £45,000 - £60,000 per annum
Tes is an international provider of software-enabled services passionate about using technology to make life easier for schools and teachers. All products and services are built with teachers and schools needs at the core, ensuring they are innovative, trusted education solutions.

SUCCESSFUL CANDIDATES WILL BRING THEIR KNOWLEDGE OF:

• DevOps and CI/CD principles
• Real world applications for marketing and campaign analytics
• Security & risk management frameworks
• Privacy and data protection
  Skills

Experience

• Successful candidates are likely to have a minimum of 3 years experience in a marketing or digital analytics engineering rol

ROLE OVERVIEW:

We are looking for a technically skilled and commercially minded Marketing Analytics Engineer with experience of CRM migration and integration. The successful candidate will work with the rest of our Data function to implement and leverage marketing effectiveness analytics as a key part of our growth strategy.
This role sits in the Data & Insights department and reports to the Senior Data Engineer for Event Streaming.

KEY RESPONSIBILITIES:

• Design and develop scalable and efficient data pipelines to collect, process, and analyse large datasets in support of marketing initiatives
• Develop and maintain complex data models and algorithms to forecast customer behaviour, predict sales trends, and optimise marketing campaigns
• Collaborate with cross-functional teams, including product management, sales, and customer success, to integrate insights into marketing strategies
• Develop and maintain documentation of data models, algorithms, and pipelines for future reference and knowledge sharing
  What You Need to Succeed

Experience

• Successful candidates are likely to have a minimum of 3 years experience in a marketing or digital analytics engineering role

Knowledge