Senior Data Analyst

Stimulating iGaming Careers

With Gaming talent headhunted from our peer providers in the industry, our teams across the world are passionate about leading towards the Gaming experience of the future.

Our Core Values

We’re client-centric

We do what we say, on time, every time. We work closely with our clients to provide robust and effective plans of action, working strategically to deliver the optimal iGaming solutions for your specific business objectives and audience needs.

We’re dedicated to progression

We employ industry experts around the world with specialist knowledge in emerging markets and localisation, who keep one step ahead of market trends to ensure that our customers stay ahead of the game.

We’re technology-led

We invest in the best iGaming developers, design teams and infrastructure around the world to deliver progressive, constantly evolving technological solutions that help to give our operator clients the competitive edge.

Where you Fit In:

​The Senior Data Analyst is a vital role within the data team. This is a bridge between Data Engineers, BI Developers and businesspeople. The data analyst translates business requirements into analytical data sets that could be used from the BI Developers and works on the automation of those data sets with data engineers. The role is also supporting other internal stakeholders (i.e. customer facing teams, finance etc.) with ad-hoc reports and analyses, to help them in making data driven decisions and effective business choices. In addition, the Data Analyst in involved troubleshooting, improving existing BI systems and data pipelines, also ensuring the accuracy and efficiency of data-driven solutions.

The impact you will have:

Analyze and understand business requirements and translate them into dashboard designs and data analyses that clearly tell a story.

Work closely with BI developers to evaluate and potentially implement new BI systems (such as MicroStrategy or PowerBI), to extend the capabilities of both internal and external reports and data visualizations.

Proactively perform deep dive analysis, then communicate and collaborate with business stakeholders to deliver reasonable insights and recommendations.

Develop new reports tailored to different teams within the organization, providing timely updates on overall KPIs and individual client KPIs.

Prepare and deliver monthly financial reports with comprehensive insights to stakeholders, including the Exec team, Product Teams, and Key Account Managers.

Take ownership of data analyses workflows, from request to delivery of data, reporting, and analysis, driving value and efficiency improvements

Mentoring Junior and Mid-level data team members

​Investigate data issues and suggest improvements on data pipelines.

Prepare ad-hoc reports using SQL queries.

Reports and dashboards automation using SQL functions / Python.

Collaborate with Data Engineers on developing and automating analytical data sets.

Ensure reporting processes and procedures are fully documented and constantly reviewed in line with changing business and customer requirements.

What we’re looking for:

Required Skills and Qualifications:

• Hold a degree in Mathematics or a numerate field, with knowledge of probability and statistics being advantageous.

• Track record of managing an analytical team’s output, capturing requirements, prioritising tasks, and effectively managing expectations.

• Advanced proficiency in Microsoft Office, especially Excel and PowerPoint.

• Experience in extracting, analysing, and interpreting large and complex data sets.

• Minimum of 5 years of experience in a similar BI/Analytics focused role.

• Advanced knowledge of SQL and analytics tools incl. dimensional data modeling tools.

• Familiarity with the online gambling industry is desirable.

• Mathematically minded, comfortable with statistics, probability, and logical problem-solving.

• Deep understanding of best practices for data analysis and visualization platforms.

Desired Certifications and Additional Qualifications:

• Certifications in data analytics, such as Certified Analytics Professional (CAP) or Microsoft Certified: Data Analyst Associate.

• Proficiency in other business intelligence tools like MicroStrategy or PowerBI.

• Advanced analytics techniques – customer segmentations, churn prediction, lifetime value prediction etc. is a strong plus.

• Strong communication, stakeholder management, and critical thinking abilities.

Technologies Used

• Databases – PostgreSQL and Oracle

• Programming languages – SQL / Python

• BI tools – PowerBI / Microstrategy

Projects and Initiatives:

• Lead the implementation of a comprehensive customer lifetime value modelling system, combining it with acquisition spend information to provide key KPI statistics and ROI analysis by granular channel.

• Drive the development and delivery of innovative analytical solutions that enable the company’s rapid digital revenue growth.

• Establish a robust data governance framework, including data quality management processes and compliance protocols, to ensure accurate and reliable insights.

Strategic Contribution:

• Contribute to the company’s growth, revenue generation, and competitive advantage by providing key insights, analysis, and new thinking based on data-driven decision-making.

• Help Product team to Influence strategic decision-making processes by delivering actionable recommendations and insights to the Exec team and other stakeholders.

• Partner closely with Product, Operational and Data teams to identify opportunities for optimization, process improvement, and innovation, based on data insights.