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Data Analyst

bet365
Full-time
Remote friendly (Manchester, England, United Kingdom)
Worldwide
Data Analytics

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.

Job Description

As a Data Analyst, you will be responsible for analysing and interpreting data to generate insights that drive forward successful business decisions and solutions.

The Data Distribution and Analytics department are responsible for monitoring, analysing and optimising key performance indicators across our range of sports and gaming products.

In this role, you will be instrumental in transforming data into actionable insights that drive strategic business decisions. 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.

Qualifications

  • Experience in analysing and modelling large quantities of data.
  • Bachelors degree in a mathematical or statistical based discipline.
  • Understanding of relationship databases and interrogation using complex SQL/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-motivation and proactive individual with a drive to succeed.
  • Creative problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Knowledge of artificial intelligence and its use within data analytics.

Additional Information

  • Developing accurate and efficient data processes to deliver reports and help understand drivers of performance to drive communication and audience strategies.
  • Monitoring and providing insights on player activities and behaviours.
  • Identifying underperforming areas and being part of 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 our operations teams.
  • Staying up to date with the latest data analysis techniques and tools, including Artificial Intelligence.

By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.

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