Python Data Analyst at bet365

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

75000.0

Posted On

04 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Visualization, Statistical Knowledge, Analytical Skills, Problem-Solving, Google Cloud, BigQuery, Financial Markets, Fintech, Linux, Machine Learning

Industry

Gambling Facilities and Casinos

Description

Company Description At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. Job Description 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. The salary range for this position is $65,000-$75,000 annually. Qualifications 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. Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits. Additional Information 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. 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.

Responsibilities

As a Python Data Analyst, you will analyze complex datasets and develop insights to drive data-driven decision-making. You will work closely with management to implement reporting structures and data-driven solutions that enhance products.