Vacancy Type:
23 (GVC)
About The Role

Within GVC’s Product Analytics & Optimisation team your role is key to provide valuable direction and insight for Operations, Product and Senior Management teams to make informed feature development decisions. This involves planning, prioritizing, and activating data assets that drive value, and demonstrably improve the product.

You liaise with stakeholders across the organisation to understand the goals of developing new and optimise existing Product features, identify opportunities to extract value from datasets to produce innovative solutions, and solve focused analytical problems, as well as support the Product data strategy and own the end-to-end execution.

The role provides leadership, mentorship and guidance for a team of Product Analysts to guarantee professional and technical development, and to foster continuous improvement of the team’s code, architecture, and agile processes.

Key Responsibilities:
  • Responsible for performing complex analysis, including optimisation, machine learning, statistical analysis, statistical models and techniques
  • Responsible for the design of algorithms that require different models/methods to be used together
  • Responsible for driving data quality throughout the organization
  • Apply strong understanding of data analytics techniques and libraries to business problems
  • Support Analytics team to complete all project deliverables
  • Translate requirements into meaningful KPIs and standardised reports to monitor and drive the product and operational effectiveness
  • Collect, organise, analyse and interpret data and statistical information to extrapolate behaviour and patterns from the data that will provide insights, direction and use cases back to the business using SQL and visualization tools such as Tableau
  • Understand customer journeys data footprints and explain the story behind the numbers
  • Identify improvement opportunities and recommend sustainable alternatives on player journey, customer experience and conversion via data analysis and feedback learnings in ongoing and recurring reporting
  • Prepare data set for the analysis by querying the various data sources and data services
  •  Provide inputs to Operations and Product on the conversion of analysis findings into actions
Knowledge & Experience & Skills 


  • degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field
  • 5+ years of experience in Data Analytics or related fields
  • Comprehensive knowledge of modern data science and product/web analytics tools and techniques, including Python and associated data science ecosystem, Machine Learning, Google Cloud Data platform, BigQuery and similar
  • Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques
  • proven experience managing in an Agile environment
  • Usage of analytically-oriented languages such as Python or R
  • Experience in working with large, complex datasets applying big data technologies and script language, including Python, Java
  • Advanced quantitative and statistical analysis skills to solve business problems and provide practical business insight using data and a quantitative/scientific approach
  • Exceptional verbal and written communication skills to relate with and supervise team
  • Strong skills in the areas of tracking-, analytics, analysis and website optimisation
  • Self-driven investigative skills (knows tools, knows how to use them when and how to create a certain result)
  • Ability to turn complex concepts into actionable recommendations
  • Ability to provide data insights around a customer journey / experience
  • High attention to detail and keen eye for accuracy
  • Ability to make recommendations based on complex multilevel data
  • Good understanding of A/B testing, UX and conversion best practices
  • Good work ethic
  • Strategic and critical thinking


  • Proven track record in Product Optimisation
  • understanding importance of Customer Experience
  • Experience in Customer Experience tools like Decibel Insight, Quantum Metrics, Contentsquare or Full Story and the insight they can provide

Our Culture As Real As It gets

At GVC we're a diverse team, sharing a commitment to quality and success

Whether you're playing a key role in your local community as part of our retail team, or working out the next big gaming trends in our digital team, you'll enjoy a culture and a benefits package that we're extremely proud of.