Senior Business Analyst, Player Engagement
Senior Business Analyst, Player Engagement
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Job Description
We are seeking an experienced Senior Business Analyst to join our Player Engagement team overseeing Canada Iberia and Latin America (CILA). Reporting to the Head of CRM Intelligence this analyst will conduct extensive quantitative analysis on our player bonus spending and resulting player behaviors; all while translating such analysis into strategic recommendations to ensure we best provide value to our players across all CILA.
This Analyst will also inform the creation of predictive data models to identify critical actions needed in specific lifecycle stages in our players journeys and will partner with our Data & BI team to help them prioritize the dashboards and BI tools of highest need to empower our CRM teams.
Responsibilities
- Conduct specific quantitative data research around our customers behaviors in different lifecycle stages measuring the effectiveness of our campaigns addressing those and other KPIs
- Respond to adhoc needs of Business and Product stakeholders conducting quick-yet-pragmatic large data analysis when needed to distill key insights required to inform decision making and help drive further player acquisition engagement and retention
- Partner with the respective bonus campaign automation and local bonus teams to conduct uplift analysis and A/B testing on most important bonus initiatives ran by CRM organization while coaching and training them to conduct those analysis on their own
- Evaluate needs of CRM teams for analysis and BI tools most key for them to measure campaign impact and support efforts towards their development in collaboration with Data & BI teams
- Regularly update different stakeholders including CRM and Country leaders with the precise information and insights to enable strategic decision-making
- Identify predictive behavior models useful to inform campaign automation around player journeys and lead their development in partnership with Data Science teams
- Create support documentation for analysis findings presentations reports training sessions templates etc.
Qualifications :
- Minimum 4 years in roles focused on large-data quantitative analysis; Preference for backgrounds in Management Consulting Finance Data Analytics or Statistics
- Experienced ideating quantitative methodologies to estimate financial ROI of spending activities
- Highly experience in conducting pragmatic 80/20 directionally-correct analysis when needed finding balance between speed and accuracy
- High awareness of basic Statistics concepts (e.g. standard deviations analysis significance etc)
- Proficient using data analysis manipulation software beyond Excel (e.g. Python Alteryx Tableau etc.)
- Familiarity with SQL and overall data access & extraction tools
- Passion and excitement for running quantitative data analysis role will require somebody who finds joy in crunching large datasets to uncover insights
Bonus qualifications
- Professional experience with customer-oriented promotional spend and/or data insights roles in B2C companies with high volume of promotional spending (e.g. bonus awards coupons etc.)
- Knowledge of online casino and sportsbook industry and their player behaviors motivations and retention drivers
- Knowledge of all key stages of B2C customer lifecycles and associated marketing activities for each
Additional Information :
- Completely fluent written and spoken English skills.
- Must be based (or willing to relocate) and authorized to work in a hybrid model in Toronto (CA)
At Entain we do whats right. Its one of our core values and thats why were taking the lead when it comes to creating a diverse equitable and inclusive future - for our people and the wider global sports betting and gaming sector. However you identify our ambition is to ensure our people across the globe feel valued respected and their individuality celebrated.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate ensuring ethical and compliant hiring practices globally.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
