Job Overview
We are seeking a marketing analytics professional with a focus on data quality and AI-driven automation to improve marketing measurement, reporting, and decision-making. This role combines marketing analysis, data operations, and applied AI to ensure trusted, consistent data across multiple sources and to automate dashboards, attribution insights, and scalable analytical workflows.
Reports to
- Team Lead of Data & Marketing Technology
What will you do?
- Analyze marketing channels performance and deliver actionable recommendations
- Build and automate KPI reporting
- Support and automate experiment measurement (A/B, incrementality, creative testing)
- Design AI-powered automations for reporting, insight generation, anomaly detection, and campaign recommendations
- Own marketing/attribution data quality across sources (AppsFlyer + ad platforms), including validation and tracking troubleshooting
- Develop and maintain predictive models
- Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation.
- Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented
What are we looking for?
- STEM education
- Strong foundation in marketing analytics: attribution, funnels, cohort/retention, LTV, ROAS/CAC, experimentation
- Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
- Familiarity with mobile attribution/measurement platforms (e.g., AppsFlyer) and multi-source marketing data integration
- Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
What additional skills will help you stand out?
- Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
- Experience with SKAdNetwork and privacy-safe attribution
- Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
- Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation
Work mode
- Hybrid (2-3 days of work from the office)
- This role is eligible for relocation & immigration support
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
- 21 days annual leave (additional days based on years of service: up to 25 days)
- Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
- Sick Leave (10 days top-up to statutory allowance per year)
- Maternity Leave (18 weeks top-up to statutory allowance per case)
- Career development and education opportunities within the company
- English Language courses fully covered by the company upon Manager’s approval
- Premium Private Health Care
- Mental well-being program (iFeel)
- Onsite gym and spa
- Free parking close to the Nicosia offices, based on availability
- Free drinks-equipped kitchen in every floor building
- Hellenic Bank benefits (if applicable)
- Employee discounts (e.g. restaurants, bars, etc.)
- Personal Gaming Account
- Onsite canteen with subsidized prices for food and drinks
- Company events, Social Clubs
- Seniority Awards
- Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.
