Director, Global Customer Analytics
Summerlin
Full Time Executive-level / Director USD 169K - 313K
Aristocrat
What You'll Do
- Define the strategy and roadmap for the global customer analytics team.
- Lead and manage a globally dispersed team of analysts to deliver actionable customer insights.
- Partner directly with the Sales organization to identify opportunities and challenges in B2B sales.
- Develop and implement advanced analytics models to improve customer engagement and sales performance.
- Collaborate with clients to understand their needs and provide tailored analytics solutions.
- Utilize data storytelling to effectively communicate insights to internal and external stakeholders.
- Ensure data integrity and accuracy in all analytical outputs.
- Drive the development of scalable analytics frameworks and tools.
- Mentor and develop global team members, fostering a culture of continuous learning and innovation.
- Collaborate with cross-functional teams to refine analysis scopes and deliver impactful insights.
- Provide strategic leadership, creative problem-solving, and mentorship to the analytics team.
- All other duties as assigned.
What We're Looking For
- BA/BS or equivalent in a quantitative field (e.g., Business, Statistics, Mathematics, Computer Science).
- Strong technical skills in database tools and programming languages (e.g., SQL, Python, R) with experience in analyzing large datasets.
- 10+ years of experience in customer analytics, data science, or a related field.
- 4+ years of leadership experience managing large (40+) globally dispersed teams.
- Proven track record of developing and implementing analytics models to drive business outcomes.
- Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
- Strong project management skills with the ability to manage multiple projects simultaneously.
- High integrity and exceptional work ethic, fostering mutual trust and respect within the team.
- Strong teamwork, interpersonal, and relationship-building skills.
- Experience leading international teams is preferred.
- Familiarity with modern data stacks, languages, and warehouses (e.g., Snowflake, BigQuery, Python, R).
- Experience with Continuous Improvement concepts and frameworks.
- Proven ability to drive innovation and transformative change using customer analytics.
- Exceptional commercialization skills with prior experience in commercializing analytics products and solutions.
- Experience working effectively in complex organizations, satisfying diverse constituents, and leading through a matrix.
Why Aristocrat?
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. We offer a range of flexible working options through all.flex, our flexible hybrid work model and invite you to have a conversation with us about flexible working. EEO M/F/D/V
World Leader in Gaming Entertainment
Robust benefits package
Global career opportunities
Our Values
All about the Player
Talent Unleashed
Collective Brilliance
Good Business Good Citizen
The US based roles may require registration with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate.
Travel Expectations
Up to 25%Pay Range
$169,015 - $313,886 per yearOur goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.
Tags: BigQuery Computer Science Mathematics Python R Snowflake SQL Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours
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