Senior Data Analyst at Scorewarrior
May no longer be active — verify on the employer site
At a glance
- Company
- Scorewarrior
- Location
- Limassol, Cyprus
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Scorewarrior job
- 🏢 Scorewarrior has 10 jobs here, 10 with visa sponsorship see all
- 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
- 💡 No salary shown. Ask Scorewarrior if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Build and maintain a single semantic "Source of Truth" for the Player Care department to enable reliable ad-hoc analysis by non-technical leads.
- Design, implement, and maintain operational dashboards (CSAT, SLA, workload metrics) tailored to Support and Trust & Safety teams.
- Define and validate operational metrics to ensure consistent calculations across reports and tools.
- Mentor and assist support teams with SQL, data literacy, and query composition.
- Design and run A/B tests to evaluate support and safety initiatives; analyze results and measure impact on business metrics.
- Perform time-series forecasting for workload and staffing based on LiveOps calendar; analyze correlations between support quality, bugs, and player behavior (VIP focus).
- Collaborate on fraud detection and risk analysis; develop models and alerts for account abuse and social engineering.
Requirements:
- Strong SQL skills and data modeling experience; hands-on BI experience (Tableau or equivalents).
- Proven experience in product or operational analytics and building reliable metric layers.
- Solid knowledge of mathematical statistics, probability, causal inference, and A/B testing methodologies.
- Experience with time-series forecasting and designing predictive signals (VIP churn prediction is a plus).
- Familiarity with ClickHouse, dbt, or modern analytics stacks and advocacy for AI tooling where applicable.
- Excellent communication, patience, and ability to translate technical results for operational teams.
Responsibilities
Build and maintain a semantic data layer and operational dashboards to support the Player Care and Trust & Safety teams. Conduct A/B tests, time-series forecasting, and fraud analysis to optimize player experience and operational efficiency.
Requirements
Requires strong SQL skills, experience with BI tools, and a solid foundation in mathematical statistics and causal inference. Proven experience in product or operational analytics, ideally within the gaming industry, is highly desired.
Key skills
- SQL — in 545 other listings on The Stack
- Data Modeling — in 184 other listings on The Stack
- Tableau — in 65 other listings on The Stack
- Product Analytics — in 34 other listings on The Stack
- Operational Analytics — not in any other listing on The Stack
- Mathematical Statistics — in 10 other listings on The Stack
- Probability Theory — in 5 other listings on The Stack
- Causal Inference — in 18 other listings on The Stack
- A/B Testing
- AI Tooling
- ClickHouse
- dbt
- Time-series Forecasting
- Fraud Detection
- Data Literacy
- Semantic Data Layer
On The Stack (as of 2026-11-05)
Frequently asked questions about Scorewarrior
Is this Senior Data Analyst role still open?
It was posted on 2026-03-24. Listings more than 30 days old may no longer be active, so check Scorewarrior's site before applying.
Does Scorewarrior offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Scorewarrior's site.
Where is this role located?
The listing gives the location as Limassol, Cyprus. It is marked on-site.
What skills does this role ask for?
The listing names: SQL, Data Modeling, Tableau, Product Analytics, Operational Analytics, Mathematical Statistics, Probability Theory, Causal Inference, A/B Testing, AI Tooling, ClickHouse, dbt, Time-series Forecasting, Fraud Detection, Data Literacy, Semantic Data Layer.