Analytics Manager (Data Engineering & AI) in London
Analytics Manager (Data Engineering & AI)

Analytics Manager (Data Engineering & AI) in London

London Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data engineering and AI initiatives to create innovative gaming experiences.
  • Company: Join Push Gaming, a dynamic iGaming studio passionate about quality online casino games.
  • Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for personal growth.
  • Why this job: Shape the future of gaming with cutting-edge data solutions and impactful AI products.
  • Qualifications: PhD in Data Science or related field, with strong leadership and technical skills.
  • Other info: Collaborative culture focused on excellence, trust, and continuous learning.

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) in London employer: Push Gaming Ltd

Push Gaming is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Analytics Manager (Data Engineering & AI) to thrive. With a commitment to employee growth, we provide the tools and support necessary for individuals to excel in their careers while working on cutting-edge projects in the dynamic iGaming industry. Our hybrid work model across vibrant locations like London, Malta, and Gibraltar ensures a flexible and engaging work environment, where your contributions directly impact the creation of premium quality games.
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Contact Detail:

Push Gaming Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Manager (Data Engineering & AI) in London

✨Tip Number 1

Network like a pro! Reach out to folks in the iGaming industry, especially those at Push Gaming. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your data engineering and AI projects. This will help us see your expertise in action during interviews.

✨Tip Number 3

Be ready to discuss your vision! We want to hear how you’d architect our data ecosystem. Think about innovative solutions and be prepared to share your ideas.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Push Gaming.

We think you need these skills to ace Analytics Manager (Data Engineering & AI) in London

Data Engineering
Machine Learning
Snowflake
Power BI
DAX
Python
R
SQL
ETL/ELT Practices
Data Visualisation
Team Leadership
Analytical Skills
Communication Skills
Agile Methodologies
Problem-Solving Skills

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let your enthusiasm for data engineering and AI shine through. We want to see how your passion aligns with our mission at Push Gaming to create exceptional gaming experiences.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience in data engineering and analytics. We love seeing how your skills can directly contribute to our team and the exciting projects we have lined up.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your achievements and experiences without unnecessary jargon. This helps us understand your fit for the role quickly.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this fantastic opportunity to join our innovative team.

How to prepare for a job interview at Push Gaming Ltd

✨Know Your Data Inside Out

Make sure you’re well-versed in the specifics of data engineering and AI, especially as they relate to Snowflake. Brush up on your knowledge of data pipelines, machine learning models, and how they can enhance player experiences. Being able to discuss your past projects and their impact will show your expertise.

✨Showcase Your Leadership Style

As an Analytics Manager, you'll be leading a team, so it's crucial to convey your leadership approach. Prepare examples of how you've mentored teams or fostered a culture of technical excellence. Highlight your 'Player-Coach' mentality and how you balance management with hands-on technical work.

✨Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Be ready to tackle questions about DAX patterns, Power BI dashboards, and SQL queries. Practising these topics beforehand will help you articulate your thought process clearly and confidently.

✨Communicate Clearly with Non-Technical Stakeholders

Since you'll need to translate complex AI concepts into actionable business strategies, practice explaining your work in simple terms. Think of examples where you successfully communicated technical details to non-technical audiences, showcasing your ability to bridge that gap.

Analytics Manager (Data Engineering & AI) in London
Push Gaming Ltd
Location: London
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  • Analytics Manager (Data Engineering & AI) in London

    London
    Full-Time
    60000 - 84000 £ / year (est.)
  • P

    Push Gaming Ltd

    50-100
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