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Who we are looking for
A Data Analyst, who will analyse and interpret data, to generate insights that drive forward successful Business decisions and solutions.
The Data Distribution and Analytics team is responsible for monitoring, analysing and optimising key performance indicators (KPI’s) across our range of sports and gaming products.
You will work closely with marketing teams to generate data driven solutions to a wide range of situations.
We hire people with a broad set of technical skills, who are ready to tackle some of technology’s greatest challenges.
This role is eligible for inclusion in the Company’s hybrid working from home policy.
Preferred skills and experience
* Degree in a mathematical or statistical based discipline is essential.
* Experience in analysing and modelling large quantities of data.
* Understanding of relationship databases and interrogation using complex SQL and BigQuery queries is essential.
* Experience using R, Python or other analytical software packages.
* Strong background in statistics including generalised linear models, experimental design and A/B testing.
* Self-motivated and proactive individual with a drive to succeed.
* Creative problem solving abilities.
* Excellent written, verbal and visual communication skills.
Main Responsibilities
* Developing accurate and efficient data processes to deliver reports and to help understand drivers of performance to improve communication and audience strategies.
* Monitoring and providing insights on player activities and behaviours.
* Identifying underperforming areas and contributing to the development and implementation of improvements.
* Applying statistical techniques to model and predict customer behaviours.
* Analysing, providing insight and proposing optimised solutions for all player and marketing activities including conversion, promotions, retention and reactivation programs.
* Recommending testing strategies to enable effective campaign measurement.
* Responding to and delivering data driven solutions led by Business requests as made by the operations teams.
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Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Gambling Facilities and Casinos
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