The Data Analyst will be a key member of the Enterprise Finance Reporting and Insights Center of Excellence team. This role is responsible for providing excellent products and services in the form of reports, insights, and cross-collaboration across the Global Finance organization with an emphasis on Global Gaming, to build sustainable automated reports, dashboards, and visualizations used by the Finance Teams to highlight data trends, anomalies, and reduce manual tasks. We are seeking a multifaceted and self-motivated individual who is a phenomenal teammate, very well-organized, and enjoys serving many internal collaborators in a fast-paced environment.
What You'll Do
It is both strategic and operational, where the key outcomes are to:
Review and provide consolidated metrics and targets on a timely basis during month-end and forecast cycles.
Develop enhanced reporting, including self-service reporting for collaborators, such as dashboards, visuals, or new reporting styles
Build strong relationships across business unit finance teams to facilitate open and timely communication
Ability to adopt ambiguity and break down complex problems to provide clear and effective recommendations
Applied sophisticated presentation and visualization software to effectively communicate analysis/results to key collaborators
Partner with the broader Finance organization to build robust analytical models, tools, and processes, and provide superior service to business partners/internal clients
Cross collaborates with the team, learning other parts of the business (D&D, Interactive, Group) to assist when needed.
The outlook of the role is primarily internal. Work collaboratively with the Global Gaming finance teams, D&D finance segment leads, Interactive finance team, global accounting teams, and corporate Group Finance.
What We're Looking For
Bachelor's degree or equivalent experience in Finance, Accounting, or related field
Experience as a Data Analyst or Financial Analyst
Advanced skills in Excel, including modeling and complex formulas
Experienced in Power BI, including DAX formulas
Strong experience in SQL (or similar BI Tool)
Skills in Python would be highly desirable
Strong analytical and complex Financial Modeling skills, with experience working with complex financial data to produce analysis, including trend, forecast, and critical metric analysis, generating insights to improve efficiency, quality, and performance
Confidence to work on complex projects and drive them to a solution
History of enhancing operations: Consistently seeking ways to improve, including recognizing automation possibilities
Ability to see the big picture, but able to dive into the details when required
Collect, clean, and organize financial and transactional data from various sources, including databases, spreadsheets, and software systems.
Must possess a high level of personal and professional development and accountability
Established proficiency in overseeing several priorities, including meeting changing demands and adjusting to frequently changing priorities
Strong collaborator engagement and communication skills with the ability to build and maintain strong relationships across the business
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