Are you interested in helping guide and support decision making across our client’s markets, brands and teams? Are you looking forward to utilising your analytical skills and profound understanding of customer behaviour to coach and drive change and action? Are you hungry to learn and develop and feel like you’re ready to take the next step in your career? Then take this opportunity to join our gaming client as Analytics Manager!
This is a permanent position based in Malta.
- Coaching team members, and ensure that the team is equipped with the relevant knowledge and tools
- Working with the regional teams to contribute to CRM campaign strategy and planning, forecasting of spend, and to provide insight-driven recommendations at all stages of the customer lifecycle
- You will be the analytical partner for the CRM, VIP, Casino and Sports Managers to support in their daily work, promoting data driven decision making around all player activities
- Working closely with Key Account Managers to help them fully understand the VIP portfolio, and what drives VIP activity at different stages of the lifecycle.
- Owning all CRM outbound communication stats (SMS, emails, outbound calling, push notifications) – Deliverability, Open and Click rates etc, enabling the teams to improve continually.
- Guiding the teams to understand why some customers play Game A in preference to Game B, and how we can influence customers behaviour with specific CRM activities at certain parts of their lifecycle.
- Assisting the managers in predicting bonus risk and fraud elements of a campaign by truly understanding gaming behaviours.
- Analysing CRM & VIP spend to ensure optimisation of investment per lifecycle stage.
- Driving insights around VIP events management ensuring effective investment in this area.
- Experience within people manager roles with coaching experience
- A degree (or equivalent) in one of the quantitative areas (e.g. Statistics, Maths or Economics)
- A keen interest and a deep understanding in Sports and Casino
- 4+ years’ experience as an analyst
- Experience with best base tools (e.g. advanced Excel, use of relational databases such as MySQL) as well as packaged tools such as QlikView, Google Analytics, etc.
- Programming languages such as SQL
- Desirable – Worked with Knime, JIRA and/or Confluence