bet365

online gambling

PythonDataAnalyst

$65–75k Denver, Colorado, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for entry candidates.

The Brief

“Python Data Analyst at bet365. Skills: Python, SQL, data analysis, statistical knowledge, data visualization. analyze complex datasets. develop insights”

What You'll Achieve.

drive data-driven decision-making; enhance our products; implement impactful solutions

Industry & Context.

online gambling
Problems you'll solve

analytical and problem-solving skills

What They're Looking For.

Must Have

Proficient in Python, Proficient in SQL, 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, 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 Have

Experience with Google Cloud, Experience with BigQuery, Experience with financial markets, Experience with fintech, Experience with Linux, Experience with Machine Learning toolkits

What You'll Do.

analyze complex datasets

drive data-driven decision-making across the Business

implement reporting structures and data-driven solutions

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

How You'll Work.

Team & Collaboration

work closely with management; Collaborating with cross-functional teams

Communication Scope

Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management; Presenting research and analysis in a clear and concise manner

Full Job 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. 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 scienc

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