Join Aristocrat’s Finance & Business Intelligence team to be part of a dynamic company that values innovation, collaboration, and excellence. As a Data Analyst, drive strategic decisions with your analytical skills to shape our business.

TECHNICAL REQUIREMENTS

• Advanced/Expert in Excel.
• Advanced in Power BI (or similar BI tool).
• Advanced in SQL.
• Intermediate/Advanced in Python (pandas, sklearn).
• Nice to have: IBM Planning Analytics.
  This is an outstanding opportunity to demonstrate your analytical skills and collaborate with a diverse and ambitious team. Join us in our mission to bring happiness to life through the power of play!
  Why Product Madness?
  As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
  We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.
  So, what’s stopping you?

• Collect, clean, and coordinate financial and transactional data from various sources including databases, spreadsheets, and software systems.
• Write and maintain Python scripts for data extraction, transformation, and automation of routine tasks.
• Develop and maintain ETL pipelines using Python.
• Automate data ingestion from APIs, databases, flat files, and third-party systems.
• Analyze financial data to identify trends, patterns, and anomalies.
• Prepare regular and ad-hoc financial reports, dashboards, and presentations for management and collaborators.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.
• Assist in the development and implementation of financial processes and procedures to improve efficiency and accuracy.
• Stay current with industry trends, standard methodologies, and new technologies in finance and data analysis.
• Ensure data quality and integrity.