Job Details

Job role: Data Analyst (Marketing Retention)

Duration: 6 month Contract-to-Hire

Location: Remote

About the Role:

The marketing retention analyst will work alongside the broader marketing and BI teams to identify areas of opportunity to retain our most valuable assets and drive further business growth. They will support a culture of data driven decision making, provide actionable insights and recommendations as well as identify key opportunities and efficiencies within the broader marketing business, including CRM, omnichannel and loyalty. The ideal candidate will be a motivated analytical thinker who thrives in collaborative environments to inform key business decisions. They will also need to efficiently manage multiple projects across several different key business priorities within the marketing space. It is vital for this person to feel comfortable interfacing with key internal and external business leaders.

Responsibilities:

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions
• Efficiently manage multiple short- and long-term projects to keep on track with deadlines and continue to push the business forward
• Lead the analytics strategy within the CRM, Omnichannel & Loyalty space in collaboration with the marketing business leads
• Interface with internal and external stakeholders regularly to identify areas of focus within the business

• Bachelor's or master's degree in analytical field

• 2+ years commercial experience in analytics, business intelligence or data science
• Advanced use and understanding of SQL
• Advanced use of Microsoft Office especially Excel and PowerPoint
• Experience with a programming language (e.g., Python, R)
• Experience utilizing viz tools like Power BI and Tableau (Power BI and DAX experience is preferred)
• Experience leading analytical strategies across the commercial business
• Confident presenting recommendations to key stakeholders extending up to the Senior Leadership level
• Experience working with large and sometimes incomplete and complex data sets
• Basic understanding of sports betting in United States
• Business standard use of the English language

• Basic understanding of sports betting in United States