Data Analyst (Finance & Business Intelligence)

New Yesterday

Data Analyst (Finance & Business Intelligence) Join Aristocrat's Finance & Business Intelligence team as a Data Analyst to drive strategic decisions with analytical skills that shape our business. This role supports Product Madness, part of the Aristocrat family. What You'll Do
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.
What We're Looking For
Bachelor’s degree in BI and Analytics or related field (Master’s degree or equivalent experience preferred). At least 3+ years of proven experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical collaborators. Experience delivering end-to-end data products. Proven experience ensuring data quality and integrity. Attention to detail and accuracy with a focus on delivering high-quality work under tight deadlines. Ability to work independently as well as collaboratively in a team environment. Experience working in the gaming industry is a plus.
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.
Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. #J-18808-Ljbffr
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Location:
London, England, United Kingdom
Job Type:
FullTime

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