Casino BI Analyst

Hard Rock Digital
Glasgow
1 year ago
Applications closed

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us?


What’s the position?

As a direct member of the casino team and the distributed, broader analytics team, you'll help expand Hard Rock Digital's Casino business, across multiple jurisdictions. Working closely with the casino commercial, product, operations and regulatory teams you will combine your knowledge of casino and experience of quantitative analysis and reporting to ensure data plays a leading role in driving forward the future growth and direction of the casino business.

Responsibilities for this role include:

  1. Deliver insight and analysis into the performance of our casino games portfolio
  2. Provide valuable insights into game performance, game placement, player preferences and supplier/market external benchmarking
  3. Evaluate the performance of casino campaigns & promotions
  4. Produce specific customer cohort analysis to support ongoing marketing acquisition and retention campaigns
  5. New product commercial impact assessment to drive the future roadmap prioritisation
  6. In-depth analysis on the customer loyalty and VIP offers to drive the optimization of the highest value customer segment
  7. Understand performance and explain the story behind the numbers
  8. Define and implement measurement strategies and produce meaningful KPIs and reports with actionable insights / next best actions
  9. Manage the priority list of data requests and educate stakeholders on the right questions to ask, to produce insights which enable the desired business outcomes


What are we looking for?

In this team we need people who have a deep understanding of online casino customers, what drives them and how to generate actionable insight from analysis. To be successful in this team you will:


  • be creative, methodical, logical and structured in your work
  • have a strong understanding of probability and statistics
  • be comfortable writing code to source data, with the ability to manipulate it to focus in on what is most important, then create compelling visualizations and narrative to communicate your findings
  • possess strong Excel and competent SQL skills. Tableau and PowerBI experience a bonus
  • have an interest in or experience with or in Python, R or other analytical programming languages
  • be willing to lead from the front and be a voice in driving continuous improvement in the tools and techniques used for analysis
  • comfortable managing senior stakeholder expectations and pushing back on requests which lack a clear thought process and business reasoning
  • experience in a similar role in an online casino is essential
  • the ability to transform complex facts and figures into plain English that can be easily understood across all layers of the business, coupled with strong presentation skills
  • exceptional data wrangling skills dealing with complex disparate datasets to combine and automate the analytics workflow


What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

  • Remote working
  • Competitive pay and benefits
  • Flexible vacation allowance
  • Start-up culture backed by a secure, global brand
  • Opportunity to drive informed decision making for a best-in-class casino brand


Roster of Uniques

We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal-opportunities employer)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.