At a Glance
- Tasks: Support game teams with data insights and optimise in-game features.
- Company: Join a leading entertainment company creating top mobile and casino games.
- Benefits: Competitive pay, health benefits, remote work options, and performance bonuses.
- Other info: Dynamic work environment with opportunities for growth and creativity.
- Why this job: Make a real impact on exciting games while collaborating with diverse teams.
- Qualifications: Experience in data analysis, strong SQL skills, and a passion for gaming.
The predicted salary is between 34650 - 42350 £ per year.
We are looking for a dedicated Product Analyst to join our growing team. In this role, you will support the creative divisions within, working alongside other analysts and experts in data analysis. You will encounter a variety of challenges covering the full data work spectrum, from data mining to reporting, and have an opportunity to support different business partners. Your contribution will help develop Product Madness games into their best versions yet.
What You'll Do
- Collaborate directly with the game team in supporting their day-to-day data needs.
- Provide insights necessary to optimize existing and build new in-game features.
- Share your findings with the game teams and the wider Product Madness community.
- Develop reports to help with gathering all of our daily critical metrics in areas such as player engagement or monetization.
- Monitor the constantly evolving in-game behaviour of players exposed to GameOps events and AB Tests.
- Investigate arising in-game issues and data anomalies.
- Implement in-game tracking and producing end-to-end data pipelines that empower end users alongside the data engineering team.
- Uncover new points of view that help us continue to delight the people playing our games.
- Champion creativity in the way we think, design, test, verify, and implement new solutions.
What We're Looking For
- Passionate about quantitative analysis.
- Intuitive and proactive with regard to data interpretation.
- Capable of generating actionable business insights for the game teams and Product Madness as a whole.
- Experienced in working with game or similar user experience-focused datasets.
- Excited to work closely with a diverse team of business partners, product analysts, and data scientists.
- 2+ years' experience in a product or data analyst role.
- 1+ year of experience working with other F2P games, social casino titles or RMG or general knowledge about the mobile games industry or similarly sophisticated customer-facing digital businesses.
- Strong SQL and Excel skills.
- Experience in data visualization and reporting tools such as Looker/QlikView/Tableau/etc.
- Working experience setting up and analyzing A/B-tests.
- Experience in handling complex problems and communicating the solutions to varied audiences.
- Ability to translate game needs into data analytics requirements.
- Strong in mathematics and quantitative analysis with a passion for numbers and data.
- Degree in Computer Science, Data Science, Mathematics, or a similar field, or equivalent experience, is preferred.
- Experience with Python and/or R.
Product Analyst employer: Aristocrat
Aristocrat is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a hybrid environment. With a strong focus on professional development, you will have ample opportunities to mentor fellow engineers and lead innovative projects while staying at the forefront of automation technology. Located in the UK, our team enjoys a collaborative atmosphere that encourages creativity and growth, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst
✨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!
✨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 Product Analyst at Aristocrat.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Product Analyst at Aristocrat, 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 Product Analyst
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, 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. 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
✨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!
✨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.
