At a Glance
- Tasks: Lead a top-tier data and analytics team in the gaming industry.
- Company: Join Aristocrat, a leader in gaming innovation.
- Benefits: Hybrid work, competitive salary, and opportunities for growth.
- Other info: Dynamic environment with a focus on innovation and player trust.
- Why this job: Make a significant impact on player engagement and game economies.
- Qualifications: Senior leadership experience in data, analytics, or game economy.
The predicted salary is between 81000 - 99000 £ per year.
Are you ready to lead a world-class data and analytics team in the gaming industry? At Aristocrat, we are looking for an experienced VP Data, Analytics & Economy to direct our data strategy, decision intelligence, and game economy performance. This pivotal role guarantees that our key business decisions rely on trusted insights, advanced analytics, and rigorous experimentation. Join us and play a crucial part in boosting player engagement, retention, and monetization across our portfolio. This is your chance to define a significant impact in a dynamic and ambitious environment!
What You'll Do
- Data strategy and intelligence
- Define and complete the Product Madness data strategy.
- Build trusted, scalable, and accessible data platforms and products.
- Establish governance, data quality standards, and consistent business metrics.
- Build decision frameworks that enable leaders to act with confidence and pace.
- Analytics and insights
- Lead business intelligence, analytics, research, and data science capabilities.
- Deliver actionable insight across products, portfolio performance, and player behavior.
- Inform investment decisions, portfolio prioritization, and growth choices.
- Drive adoption of data-informed decision-making throughout the organization.
- Experimentation and optimization
- Own experimentation standards, governance, and testing frameworks.
- Increase test velocity, quality of learning, and application of insight.
- Ensure material decisions are supported by robust evidence and measurable outcomes.
- Develop predictive methods that support acquisition, engagement, retention, and commercial performance.
- Economy and monetization management
- Establish portfolio-wide standards for healthy, balanced game economies.
- Lead monetization optimization, offer strategy, segmentation, and pricing approaches.
- Work closely with Product and Live Operations leaders to increase player lifetime value.
- Balance short-term commercial performance with player trust and long-term engagement.
- Artificial intelligence and sophisticated data analysis
- Lead forecasting, machine learning, and advanced analytics projects.
- Use data science to boost player and commercial outcomes.
- Identify and scale competitive advantage through responsible use of data and AI.
What We're Looking For
- Significant senior leadership experience across data, analytics, data science, or game economy fields in gaming, digital products, or consumer technology.
- Proven track record of building trusted data capabilities and turning insight into commercial and player outcomes.
- Deep understanding of experimentation, segmentation, monetization, predictive analytics, and metric governance.
- Experience leading distributed teams across technical and commercial fields.
- Strong product judgment and the ability to balance revenue optimization with sustainable player experience.
Vice President, Data, Analytics & Economy employer: Aristocrat Leisure
Aristocrat Leisure is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about the iGaming industry. With a strong emphasis on employee growth, you will have the opportunity to mentor others while collaborating with talented teams in a vibrant location, ensuring your contributions lead to meaningful and rewarding experiences. Join us to be part of a forward-thinking company that values creativity and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President, Data, Analytics & Economy
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aristocrat Leisure!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Vice President, Data, Analytics & Economy at Aristocrat Leisure.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aristocrat Leisure.
✨Apply Directly through Our Website
When you find a suitable opening like Vice President, Data, Analytics & Economy at Aristocrat Leisure, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Vice President, Data, Analytics & Economy
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aristocrat Leisure, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aristocrat Leisure. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aristocrat Leisure
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aristocrat Leisure!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
