Product Analytics Engineer, Sports (Stoke)

bet365; Stoke-on-Trent; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the gambling industry seeks a Product Analytics Engineer to enhance their Sportsbook product through data-driven insights. You will collaborate with cross-functional teams to design scalable data solutions and optimize user experiences. This role offers the chance to work with vast datasets and directly impact strategic decisions in a fast-paced environment.

Qualifications

• Proven experience in data engineering or analytics engineering.
• Ability to communicate complex data insights to non-technical stakeholders.

Responsibilities

• Designing and implementing scalable data models for the Sportsbook product.
• Collaborating with Product Managers to define success metrics and data requirements.
• Conducting data analysis to identify trends and opportunities for product enhancement.

Skills

SQL

Data Modelling

Analytical Skills

Problem Solving

Communication

Tools

BigQuery

Snowflake

DBT

Power BI

Looker

Tableau

Google Analytics

Tag Manager

Job description

Product Analytics Engineer, Sports (Stoke)

bet365 Stoke-On-Trent, England, United Kingdom

Product Analytics Engineer, Sports (Stoke)

bet365 Stoke-On-Trent, England, United Kingdom

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Who we are looking for

A Product Analytics Engineer, who will play a pivotal role in transforming our Sportsbook product through data-driven insights.

With over 100 million users, and tens of millions of bets processed daily, your expertise will help us to optimise user experiences and drive innovation. You will collaborate closely with cross-functional teams, including Product Managers and Software Engineers, to design and implement scalable data solutions that enhance our understanding of user behaviour and product performance.

In this dynamic role, you will have the opportunity to work with vast datasets, ensuring that our analytic capabilities are robust and insightful. Your contributions will directly impact our strategic decisions and help us to maintain our position as a leader in the online gambling industry.

If you are ready to make a significant impact in a fast-paced environment and help shape the future of our Sportsbook product, we would love to hear from you!

This role is eligible for inclusion in the Company’s hybrid working from home policy.

Preferred skills and experience

• Proven experience in data engineering or analytics engineering, preferably in a high-transaction environment.
• Strong SQL skills and experience with data warehousing solutions such as BigQuery and Snowflake.
• Proficiency in data modelling and transformation tools such as Data Build Tool (DBT).
• Familiarity with data visualisation tools such as Power BI, Looker and Tableau.
• Excellent analytical skills with a strong attention to detail.
• Ability to communicate complex data insights to non-technical stakeholders.
• Experience with event tracking and analytics tools such as Google Analytics and Tag Manager.
• Strong problem-solving skills, with a proactive approach to challenges.
• Ability to work collaboratively in a fast-paced, cross-functional team environment.
• Passion for sports and an understanding of the gambling industry is desirable.

Main Responsibilities

• Designing and implementing scalable data models for the Sportsbook product.
• Collaborating with Product Managers to define success metrics and data requirements.
• Developing and maintaining data pipelines to ensure accurate and timely insights.
• Conducting data analysis to identify trends and opportunities for product enhancement.
• Creating and managing dashboards and visualisations for stakeholders.
• Ensuring data quality and integrity through rigorous testing and validation.
• Working with engineering teams to implement event tracking and instrumentation.
• Supporting A/B testing and experimentation frameworks to evaluate product changes.
• Documenting data processes, models and best practices for team reference.
• Staying up to date on industry trends and emerging technologies to drive innovation.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Gambling Facilities and Casinos

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