At a Glance
- Tasks: Lead data engineering and AI initiatives to create innovative gaming experiences.
- Company: Push Gaming, a dynamic iGaming development studio focused on quality online casino games.
- Benefits: Hybrid work model, growth opportunities, and a culture of trust and collaboration.
- Why this job: Shape the future of gaming with cutting-edge data solutions and AI technology.
- Qualifications: PhD in Data Science or related field, with strong leadership and technical skills.
- Other info: Join a passionate team dedicated to excellence in game development.
The predicted salary is between 60000 - 84000 £ per year.
Push Gaming is a dynamic and innovative iGaming development studio specialising in creating top-quality, mobile‑optimised online casino games. With a passion for gaming and a commitment to pushing boundaries, we are dedicated to delivering exceptional experiences to players worldwide.
We are looking for an experienced and collaborative Analytics Manager (Data Engineering & AI) to lead our data engineering and AI initiatives. This role will own the design, delivery, and operationalisation of data platforms, pipelines and machine learning solutions that power business insights, product intelligence and personalised player experiences. This is a hybrid leadership position designed for a highly technical visionary. You will bridge the gap between complex data engineering, advanced analytics, and executive decision-making. As a PhD-level expert, you will not just manage a team; you will architect the future of our data ecosystem within Snowflake.
Role Overview
- Location: UK (hybrid in London) / Malta / Poland / Gibraltar / Isle of Man.
- Department: Data & Analytics
- Reports to: Director of Data and Analytics
Key Responsibilities
- Strategic Leadership & Team Management
- Lead and mentor a high-performing team of Data Engineers to build scalable, resilient data pipelines.
- Define the roadmap for data architecture, ensuring it supports both real-time reporting and long-term AI initiatives.
- Foster a culture of technical excellence, continuous learning, and agile delivery.
- Act as the "Lead Architect" for Power BI, designing sophisticated, high-performance dashboards that provide actionable insights into player behaviour and game performance.
- Implement rigorous DAX patterns and data modelling standards to ensure a single source of truth across the organization.
- Data Science & AI Product Development
- Leverage your PhD expertise to design and deploy machine learning models directly within Snowflake (using Snowpark, Streamlit, or SQL-based ML).
- Develop AI-driven products such as player churn predictors, automated risk assessment tools, or game recommendation engines.
- Own the full ML lifecycle, from hypothesis and feature engineering to production deployment and monitoring.
- Snowflake Infrastructure & Engineering
- Direct the engineering team in optimizing Snowflake environments for performance and cost-efficiency.
- Oversee the transition from raw data to refined, analytics-ready layers using modern ETL/ELT practices (e.g., dbt).
What you'll bring to the role:
- PhD in Data Science, Machine Learning, Statistics, or a closely related quantitative field.
- Data Engineering: Proven experience leading engineering teams and managing complex data warehouses (Snowflake preferred).
- Visualisation: Expert-level proficiency in Power BI, including complex DAX, Power Query (M), and administrative settings.
- AI/ML: Deep experience with Python/R and SQL. Specific experience with Snowpark or Snowflake’s AI/ML features is a significant advantage.
- Gaming Industry: (Preferred) Experience with high-volume, real-time data typical of the iGaming or Fintech sectors.
- Strong experience in leading Data Science or AI teams.
- The "Player-Coach" Mentality: You are equally comfortable in a 1-on-1 career coaching session as you are debugging a complex SQL query or tuning a neural network.
- Analytical Rigour: The ability to apply academic-level scientific methods to commercial business problems.
- Communication: Translating "black box" AI models into clear business strategies for non-technical stakeholders.
Push Gaming is a hit-maker in the slots world. We value quality over quantity, and our data team is the engine that allows us to understand exactly what players love. In this role, you will have the autonomy to build a "best-in-class" data stack from the ground up. We are passionate about creating premium quality games and will never compromise on this. The approach we take in building and strengthening our team is no different. We set out to attract and retain high performers and are committed to seeking like‑minded individuals who share our vision for excellence and quality. In turn, we offer all the tools and support to allow individuals to grow and thrive, while achieving both personal and company goals in an environment that’s built around trust, collaboration, transparency and accountability.
Analytics Manager (Data Engineering & AI) employer: Push Gaming Ltd
Contact Detail:
Push Gaming Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager (Data Engineering & AI)
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data industries on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning or data visualisation. This is your chance to demonstrate your expertise in Snowflake and Power BI, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines and AI solutions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Push Gaming. Don’t miss out on this opportunity!
We think you need these skills to ace Analytics Manager (Data Engineering & AI)
Some tips for your application 🫡
Show Your Passion for Gaming: When you're writing your application, let your love for gaming shine through! We want to see how your passion aligns with our mission at Push Gaming. Share any relevant experiences or projects that highlight your enthusiasm for the industry.
Highlight Your Technical Skills: Make sure to showcase your technical expertise in data engineering and AI. We’re looking for someone who can bridge complex data with actionable insights, so don’t hold back on detailing your experience with Snowflake, Power BI, and machine learning models.
Tailor Your Application: Take the time to tailor your application to the specific role of Analytics Manager. Use keywords from the job description and demonstrate how your background and skills make you the perfect fit for leading our data initiatives.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Push Gaming Ltd
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data engineering and AI. Be ready to discuss specific challenges you faced, how you overcame them, and the impact of your solutions. This will show your technical prowess and ability to lead a team effectively.
✨Showcase Your Leadership Style
Prepare examples that highlight your 'Player-Coach' mentality. Discuss how you've mentored team members while also being hands-on with complex tasks. This balance is crucial for the Analytics Manager role, so make sure to illustrate your collaborative approach.
✨Master Power BI and DAX
Since this role involves designing high-performance dashboards, brush up on your Power BI skills. Be ready to explain your experience with DAX patterns and how you've implemented them in previous roles. Consider bringing a portfolio of your best visualisations to showcase your expertise.
✨Communicate Complex Ideas Simply
Practice explaining your AI models and data strategies in layman's terms. The ability to translate technical jargon into clear business insights is key for this position. Think of examples where you've successfully communicated complex concepts to non-technical stakeholders.