Python Data Analyst
About The Position
As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business. The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues. Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products. This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.
Requirements
- Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
- Proficient in Python and SQL languages is essential.
- Basic understanding of data science principles and methods.
- Ability to deliver solutions through quantitative research, using multiple data sources.
- Self-motivated to research and deliver change within the department.
- Strong analytical and problem-solving skills
- Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management.
Nice To Haves
- Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits.
Responsibilities
- Collecting, processing, and analyzing large datasets using various tools and techniques.
- Developing and maintaining dashboards and other data products.
- Instilling accurate and effective reporting channels.
- Presenting research and analysis in a clear and concise manner.
- Assisting in the creation and implementation of rules-based or Machine Learning models.
- Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
1,001-5,000 employees
