About the Position

We are seeking a Bonus Data Analyst with 2+ years of experience in data analytics to join our team. This role involves analyzing bonus effectiveness across various segments and providing data-driven recommendations to enhance our bonus strategies.

Responsibilities

Analyze bonus effectiveness across campaigns, products, segments, markets, channels, and customer lifecycle stages.
Calculate and monitor key bonus economy metrics: bonus cost, bonus-to-deposit ratio, bonus-to-GGR/NGR ratio, ROI, payback, profitability, incremental revenue, retention uplift, and margin impact.
Evaluate the real business impact of bonuses, separating organic user behavior from bonus-driven behavior.
Analyze CRM, retention, VIP, and product campaigns to identify which bonus mechanics generate value and which create excessive cost.
Build and maintain dashboards for bonus performance, bonus cost, profitability, and campaign efficiency.
Support CRM, retention, VIP, product, finance, and risk teams with data-driven recommendations on bonus strategy.
Segment users based on bonus sensitivity, profitability, activity level, lifecycle stage, risk level, and expected value.
Identify bonus abuse, suspicious activity, abnormal bonus usage patterns, and potentially unprofitable user behavior.
Analyze wagering behavior, bonus activation, usage, completion, expiration, conversion, and breakage.
Monitor bonus cannibalization, over-incentivization, low-margin activity, and negative ROI segments.
Validate bonus-related data across CRM, product, payment, financial, and BI sources.
Perform cross-source reconciliation and investigate discrepancies in bonus cost, campaign attribution, user eligibility, and financial metrics.
Prepare ad hoc analysis, deep dives, and business recommendations for stakeholders.
Document bonus metrics, calculation logic, assumptions, segmentation rules, and campaign evaluation methodology.

Requirements

2+ years of experience in product, data, CRM, marketing, retention, or business analytics.
Experience in iGaming, betting, fintech, gaming, e-commerce, or other high-load digital products.
Experience with bonus mechanics such as deposit bonuses, free spins, cashback, reload bonuses, loyalty rewards, tournaments, promo codes, missions, or personalized offers.
Strong SQL skills and experience working with large transactional datasets.
Experience analyzing bonuses, promotions, campaigns, offers, loyalty mechanics, or customer incentives.
Strong understanding of bonus economics: bonus cost, bonus-to-revenue ratio, ROI, payback, profitability, margin impact, and incremental value.
Understanding of key business metrics such as deposits, withdrawals, turnover, GGR, NGR, ARPU, LTV, retention, churn, reactivation, and customer profitability.
Experience with cohort analysis, segmentation, funnel analysis, campaign analysis, and user-level behavioral analytics.
Ability to distinguish total campaign results from incremental impact and evaluate whether bonuses generate real business value.
Experience with data validation, reconciliation, and data quality control.
Ability to build dashboards and translate analytical findings into clear business recommendations.
Good understanding of ETL processes, data structures, and analytical data marts.
High attention to calculation accuracy, definitions, assumptions, and business logic.

Nice to Have

Experience with fraud, bonus abuse, multi-accounting, arbitrage behavior, or suspicious user activity analysis.
Knowledge of A/B testing, uplift analysis, control groups, and experiment evaluation.
Experience with BI tools such as Tableau, Power BI, or Looker.
Familiarity with Python for analytical tasks.
Experience working with CRM, marketing automation, payment, transactional, or clickstream data.
Understanding of wagering requirements, bonus lifecycle, activation, completion, expiration, and breakage.
Experience working with finance or risk teams on profitability and cost-control topics.

Soft Skills

Analytical thinking.
Strong attention to detail.
Business-oriented mindset.
Strong communication skills.
Ownership and accountability.
Proactive approach to problem solving.
Ability to challenge assumptions and validate business logic.
Ability to work independently and prioritize tasks.
Cross-functional collaboration.
Ability to explain complex analytical findings to non-technical stakeholders.
High level of accuracy when working with financial and bonus-related data.

We Offer

An exciting and challenging job in a fast-growing business group.
The opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more.
Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset.
Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan - work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day.
Modern corporate equipment based on macOS or Windows and additional equipment are provided.
Paid vacations, sick leave, personal events days, days off.
Corporate health insurance program for your well-being.
Referral program - enjoy cooperation with your colleagues and get the bonus.
Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences.
Rewards program for mentoring and coaching colleagues.
Free internal English courses.
In-house Travel Service.
Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays.
Corporate events, team buildings.

About the Company

Join our dynamic team and contribute to the success of our fast-growing business group. We offer a vibrant working atmosphere, opportunities for professional growth, and a chance to be part of a diverse and talented team.

Bonus Data Analyst

Job description