Data Analyst - iGaming

Our client is a leading provider of AI and Data Science solutions to the iGaming space. A market leader in this area, providing software that delivers real time data driven automations for personalisation - driving performance optimisation and retention rates.

They are looking for a proven Data Analyst to join their growing business, seen to be a key stakeholder and central figure internally working between various teams.

Key Responsibilities:

• Analyse the performance of products across multiple client installations.
• Develop new ways to assess the products, building prototypes of how to visualise
• Propose designs for A/B testing methods.
• Assess and improve the methodologies used in current measurement reporting.
• Carry out analytical projects for key clients
• Build repeatable analytics around the general performance of key clients
• Create knowledge base pages to explain measurement approaches
• Support Product Managers with results presentations to clients

What They Are Looking For

• You are comfortable working with a degree of ambiguity and can demonstrate the ability to change and adapt as business scales
• You have a degree in mathematics, statistics, computer science, engineering or similar
• You have a strong understanding of Maths, Statistics, and analytical methodologies
• Experience in analysing marketing activities within the gambling industry
• Technical understanding and experience of a/b testing
• Experience with statistical testing methods
• You are structured in code development and annotation, ensuring usability for others
• Experienced in developing code to answer analytical questions (there is some flexibility on languages, either Python, SQL, Pyspark or some combination)
• Comfortable presenting to audiences, either internally or externally, with a clear and precise style that can be well-received
• You have sound interpersonal skills and enjoy collaborating with others
• You have excellent verbal & written communication and presentation skills, with a well-structured and analytical approach

Hybrid working culture, with 1 day per week in Central London office.