Job Details

Data Analyst

ATG Entertainment

Latest Job
Expires in 7 days

Overview

This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You’ll report to the Analytics Manager within our Marketing Analytics and Data Science team and work closely with other data professionals as well as stakeholders in CRM, Memberships, Ticketing and Regional Marketing. 
£35,000 to £45,000
Per year
Full time, Permanent
(40 hours per week)
Greater London, WC2H 8AF

Key information

We are looking for a Data Analyst to join us and help drive business value by delivering insights and recommendations which lead to data-driven decisions. You will be part of an international, collaborative team focused on the delivery of high quality, high impact work.

About the role

In this role you will mainly carry out in-depth analytics projects, identified through a combination of stakeholder engagement and your own initiative, ranging from customer segmentation to finding opportunities in CRM performance improvement to identifying key early indicators of declining performance in long running shows. Additionally, you will coordinate with data scientists to conduct incrementality tests and analysis which will measure the efficacy of model interventions. 

This role provides an excellent opportunity to be part of an expanding analytics and data science function where your work has a direct impact on business outcomes. If you’re excited about live entertainment and data analytics, we’d love to hear from you. 

Analysis and Modelling 

  • Use business knowledge and commercial understanding to shape your hypotheses and initial lines of analytical enquiry.
  • Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to analysis.
  • Translate business and customer needs into analytics projects, delivering insights that lead to measurable improvement in revenue, efficiency, etc.
  • Conduct analysis on the incrementality of experiments conducted in CRM, Memberships, Marketing based on your recommendations. 

Stakeholder Engagement and Communication 

  • Effectively communicate insights and recommendations to technical and non-technical audiences using dashboards, data visualisations and storytelling as tools to aid understanding and ensure work lands with stakeholders.
  • Collaborate with other data professionals in the team to share knowledge and foster a culture of curiosity and continuous improvement. 

We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible. 

If you’d like to discuss accessibility prior to applying, please email recruitment@atgentertainment.com for a confidential discussion.  

Requirements

We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply. 

Essential 

Technical Skills 

  • Degree in a relevant field (data science, mathematics or similar).
  • Able to analyse and optimise marketing campaigns, evaluating performance metrics to drive measurable results.
  • Excellent numerical and analytical skills.
  • Strong with SQL and data warehousing experience.
  • Python for EDA and advanced data manipulation.
  • Familiarity with a BI visualisation tool such as Power BI, Tableau, Looker

Soft Skills 

  • Excellent stakeholder management and effective communication with technical and non-technical stakeholders.
  • Commercial mindset to link recommendations back to business goals.
  • An innate curiosity for technology and data. 

Desirable 

  • Experience within a data role, preferably within CRM, Customer or Marketing analytics.
  • Prior use of our technology stack: Snowflake, Power BI, GitHub, Iterable, dbt.
  • Experience building dashboards for stakeholders.
  • Familiarity with using Python for modelling and machine learning.
  • Experience using experimentation frameworks (causal inference, A/B testing).