Data Analyst

bet365
Denver, CO, United States
9 days ago
Apply on jobs.smartrecruiters.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$49,920.0 - $52,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Data Visualization Fraud Prevention and Detection Hypertext Transfer Protocols (HTTP) Python (Programming Language) Machine Learning SQL Databases Computer Gaming Information Technology Programming Languages

Job description

Analyze large datasets for the Fraud and Risk team, develop dashboards and reporting structures, present insights, and support data-driven risk prevention. The role involves quantitative research, stakeholder communication, and assisting with rules-based and machine learning models to detect fraud, assess risk, and improve compliance and security measures., As a Data Analyst, you’ll work closely with our Fraud and Risk team to analyze complex datasets, develop insights, and contribute to data-driven decision-making across the organization., Never Ordinary. Are you interested in the fast-paced and growing sports gambling industry? We’re seeking a Fraud and Risk Analyst to join our team at our US headquarters in downtown Denver!

The Fraud and Risk Management department plays a crucial role in protecting the company from financial threats and fraudulent activities. The key responsibilities include: Fraud Prevention and Detection, Risk Assessment and Management, 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 not just a job; it’s a career opportunity for aspiring data scientists to get hands on experience and apply their skills to implement solutions., * Collect, process, and analyze 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.
  • Assist in the creation and implementation of rules-based or machine learning models.
  • Collaborate with cross-functional teams to identify business problems and propose data-driven solutions, Lead and grow a software engineering team building real-time, event-based, low-latency scalable systems. Drive SDLC transformation with agentic AI workflows, enforce governance, remove blockers, mentor developers, and ensure solutions meet business needs and quality standards. Top Skills: Agentic WorkflowsAIDatabasesEvent-Driven ArchitectureMessagingMicroservicesMiddlewareReactTypescript

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Requirements

This position is full time and demands technical ability, statistical knowledge and data visualization techniques., * Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline.

  • Proficient in the application and use of Python is a prerequisite of this role.
  • 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.

Benefits & conditions

In-Office Denver, CO, USA 65K-75K Annually Entry level 65K-75K Annually Entry level Digital Media * Gaming * Software * Esports * Automation Analyze large datasets for fraud prevention and risk management, develop dashboards and reporting structures, present quantitative research, and support rules-based or machine-learning models. Collaborate with management and cross-functional stakeholders to identify business problems and implement data-driven solutions that improve risk prevention and compliance. Top Skills: DashboardsData VisualizationMachine LearningPythonRSQL bet365

Customer Service Advisor

51 Minutes Ago In-Office Denver, CO, USA 24-25 Hourly Entry level 24-25 Hourly Entry level Digital Media * Gaming * Software * Esports * Automation Provide customer support via live chat, phone, and email; investigate and resolve account and betting inquiries using internal tools; escalate issues as needed; follow policies, licensing, and responsible gambling practices; collaborate with teams and participate in an 8-week training program and ongoing development. bet365

About the company

At bet365, we’re one of the world’s leading online gambling companies, revolutionizing 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.smartrecruiters.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:03 min

How retro hardware frequencies broke early computer game logic

Chris Heilmann +2 · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all

Related articles

See all