Data Analyst

About the role

EveryMatrix is a prominent B2B SaaS provider in the iGaming sector, offering software, content, and services to over 300 clients globally. The company emphasizes teamwork and innovation, with a diverse team spread across Europe and Asia.

In this role, the Data Analyst will define key performance indicators and analytical frameworks for CRM reporting. Collaborating with product and commercial teams, the analyst will build dashboards and provide actionable insights to improve player engagement and retention strategies.

Skills that matter here

• SQL: This role requires strong SQL proficiency to build complex queries and analytical datasets.
• data analysis: Data analysis is central to defining metrics and understanding player behavior.
• CRM: Hands-on experience with iGaming CRM is essential for understanding retention marketing and player engagement.
• dashboarding: Building dashboards and self-serve reporting tools is a key responsibility.
• data visualization: Data visualization skills will help present findings clearly to various stakeholders.

Who this role suits

• A candidate with a strong analytical mindset and problem-solving skills.
• Someone who thrives in a collaborative environment, working closely with product and commercial teams.
• An individual who possesses excellent communication skills, able to convey complex data insights to non-technical audiences.
• A professional with a passion for the iGaming industry and a solid understanding of player behavior and retention strategies.

From the employer

What You'll get to do:

• Define the KPIs, metrics, and analytical frameworks that underpin our CRM platform’s reporting and intelligence capabilities.
• Work closely with Product and Engineering to shape what data gets captured, how it is structured, and how it surfaces to end users.
• Build and maintain dashboards, reports, and self-serve analytical tools that operators can act on directly.
• Identify gaps in current data coverage and lead initiatives to close them.
• Partner with operators to understand their retention and engagement challenges, and translate those into data-driven recommendations.
• Develop scalable insight frameworks - benchmarks, cohort analyses, segment performance models - that can be applied across multiple operators simultaneously.
• Produce regular insight packages that help operators understand player behaviour, campaign effectiveness, and growth opportunities.
• Identify cross-operator patterns and trends that can inform product development and best practice guides.
• Analyse campaign performance across the full lifecycle: targeting, delivery, engagement, conversion, and retention impact.
• Define and evolve segmentation logic, player scoring models, and lifecycle stage definitions.
• Establish A/B testing standards and support teams in designing, running, and interpreting experiments.
• Build predictive indicators for churn, reactivation potential, and player value to support proactive campaign strategies.
• Act as the analytical authority in cross-functional discussions with Product, Commercial, and Customer Success teams.
• Present findings and recommendations clearly to both technical and non-technical audiences, including operator-side stakeholders.
• Contribute to roadmap planning by surfacing data-backed opportunities and gaps.

What we’re looking for:

• 5+ years of experience in a Data Analyst or similar role.
• Hands-on iGaming CRM experience is essential - you must have worked within an iGaming operator or platform environment, with a strong understanding of player behaviour, bonus mechanics, and retention marketing.
• Deep understanding of CRM operations: campaign logic, segmentation, lifecycle marketing, and retention mechanics.
• Strong SQL proficiency - you are comfortable building complex queries, data models, and analytical datasets from scratch.
• Experience working with large-scale behavioural or transactional datasets.
• Proven ability to define metrics and measurement frameworks, not just report against existing ones.
• Experience building dashboards and self-serve reporting tools (e.g. Looker, Tableau, Metabase, or similar).
• Comfortable working directly with external clients or operators, translating their business questions into analytical answers.
• Strong written and verbal communication skills - you can tell a clear story with data.
• Desirable: Familiarity with A/B testing methodologies and experiment design.
• Exposure to predictive modelling or working alongside data scientists on applied ML use cases (churn, LTV, propensity).
• Experience with event-driven or streaming data environments.
• Python or R for analytical scripting and automation.

Here's what we offer:

• Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us.
• Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
• Monthly meal allowance.
• Gym allowance.
• Access to online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
• Benefit from two Free Fridays each year, limited to one per quarter.
• 3 sick leave days per year, no doctor's note required.
• Support for New Parents:
• 52 weeks of paid maternity leave, with 21 weeks being fully paid
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!