Analytics Manager (Data Engineering & AI)

Push Gaming; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A dynamic iGaming studio is seeking an experienced Analytics Manager to lead data engineering and AI projects. The successful candidate will own the design and delivery of data platforms, ensure reporting supports real-time analytics, and develop AI-driven products. With a PhD in a relevant field and proven experience in Power BI, this role requires a visionary leader with strong communication skills. The company values quality, and offers a collaborative environment for personal and professional growth.

Benefits

Collaboration and transparency

Growth opportunities

Autonomy in building data solutions

Qualifications

• Proven experience leading engineering teams in data engineering.
• Expert-level proficiency in Power BI with complex DAX.
• Experience with machine learning models and deployment.

Responsibilities

• Lead and mentor a team of Data Engineers in building scalable pipelines.
• Design and implement machine learning models within Snowflake.
• Act as the Lead Architect for Power BI dashboards and reporting.

Skills

Data Engineering

AI/ML expertise

Power BI proficiency

Python/R

Education

PhD in Data Science, Machine Learning, or Statistics

Tools

Snowflake

DAX

SQL

dbt

Job description

Analytics Manager (Data Engineering & AI)

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 (office in London) / Malta / Poland / Gibraltar / Isle of Man.
Department: Data & Analytics
Reports to: Director of Data and Analytics
Direct Reports: Data Engineers, Analytics Engineers, Data Scientists

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.

Hands‑on Power BI Excellence

• 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 dataflake 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.

Why join us?

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.