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Posted 6 days ago

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Junior CRM & Profitability Analyst

Lemesos, CYRemote

AI Summary

Supports the CRM team by analyzing player engagement campaigns, tracking performance metrics, and optimizing profitability for an online casino business.

About this role

Company Description

We are SkillOnNet, leading the igaming entertainment by providing our customers with the most entertaining and trustworthy experience possible, while also reinventing the gambling industry. We are home to more than 30 well-known brands, including PlayOJO, DruckGluck, BacanaPlay, Genting, and many more. We are committed to long-term development and sustainability, and we are trying to revolutionise our industry for the benefit of our players, ourselves, and the entertainment industry as a whole.

Job Description

As a CRM & Profitability Analyst, you will support our CRM team in optimizing player engagement, campaign performance, and overall profitability within our online casino business. This role is ideal for a data-driven, detail-oriented professional looking to develop their expertise in CRM and player lifecycle management. You will work closely with key business stakeholders, gaining hands-on experience in a fast-paced, data-driven iGaming environment.

Responsibilities include:

  • Analyse CRM campaigns across email, SMS, push notifications, and in-app channels

  • Track and report on key campaign metrics, including open rates, click-through rates, and conversions

  • Prepare player lists and segments for campaigns and support A/B testing

  • Support the optimization of campaigns and player journeys

  • Monitor key metrics such as GGR, NGR, and Player LTV

  • Evaluate the effectiveness of bonuses, free spins, and promotions

  • Identify high value, high-risk player segments and basic trends in player behaviour

  • Create and maintain CRM reports and dashboards, ensuring data accuracy and consistency

  • Conduct basic cohort and segmentation analysis and support ad-hoc CRM analysis

  • Highlight campaign or player activity anomalies and translate data into clear insights for stakeholders

  • Apply CRM and player lifecycle best practices while continuously developing technical and analytical skills

What we are looking for:

  • 1–2 years of experience in data analysis, marketing analytics, or CRM (internships included)

  • Experience or exposure to online gaming/iGaming is a plus

  • Good SQL and data querying skills

  • Experience with BI tools, preferably Tableau

  • Knowledge of statistical analysis and predictive modelling; Python/R is a plus

  • Familiarity with machine learning is a plus

  • Strong numerical, analytical, and problem-solving skills

  • Basic understanding of A/B testing

  • Strong attention to detail and commitment to data accuracy

  • Good communication and organizational skills, with the ability to manage multiple priorities and meet deadlines

  • Eagerness to learn and grow in a data-driven environment

  • Accurate and timely reporting

  • High-quality analysis and actionable insights

  • Contribution to CRM campaign and player journey optimization

  • Continuous development of technical and analytical capabilities

What's in it for YOU?

  • Excellent work environment

  • Monetary vouchers on Birthdays and other special occasions

  • Fully equipped kitchen and in-house entertaining space

  • Eligibility to enrol in Company's medical insurance plan

  • Eligibility to enrol in Company's pension plan

  • Exciting company activities including monthly lunches, corporate gatherings, an intercompany football team, competitions, and many other activities

  • Casual dress code

  • A chance to advance professionally inside one of the world's largest iGaming organisations

What Life at SkillOnNet is like!

SkillOnNet is a firm believer in putting people first and our “family oriented” multinational culture is what drives us. We care and focus on our staff and ensure that you are provided with the most relevant and valuable tools, privileges and amenities.

Skills

A/b TestingCohort AnalysisCRMGGRMachine LearningNGRPlayer Lifecycle ManagementPlayer LTVPredictive ModellingPythonRSegmentation AnalysisSQLStatistical AnalysisTableau

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