Python Data Analyst

Who we are looking for
A Python Data Analyst, who will work closely with our Fraud and Risk department to analyze complex datasets, develop insights, and contribute to data-driven decision-making across the Business.
The Fraud and Risk department plays a crucial role in protecting the Company from financial threats and fraudulent activities. The departments key responsibilities include Fraud Prevention and Detection, Risk Assessment and Management, and Compliance and Security.
You will work closely with management tiers to implement reporting structures and data driven solutions, which advance our risk prevention measures.
This is a great opportunity for aspiring data scientists to get hands on experience and apply their skills to implement solutions.
This position is full time and demands technical ability, statistical knowledge and data visualization techniques.
The salary range for this position is $65,000-$75,000 annually.
bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Preferred skills and experience
Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
Proficient in Python.
Experience in programming languages such as SQL or R is desirable.
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; identifying and undertaking the appropriate course of escalation.
Maintain compliance with individual licensing requirements according to regulations.
Main 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.