- מיקום
- כל הארץ
- היקף משרה
- משרה מלאה · משמרות
- תפקיד
- אנליסט/ית נתונים
תיאור המשרה
Description
Sunflower LTD is an exciting and dynamic B2C gaming startup in Tel Aviv. Our mission is to create innovative and captivating gaming experiences that engage and thrill players.
This is a unique opportunity to contribute to a rapidly growing gaming company and make a significant impact on the industry.
Payments is one of the highest-stakes domains in a B2C gaming business — every approval rate shift, every chargeback trend, every provider routing decision shows up directly in revenue. You'll own the full intelligence layer for that domain, with real influence over decisions that protect and grow the business. Small team, modern stack, fast-moving company with genuine payments complexity.
Responsibilities
- Own the payments BI domain end-to-end — dbt models, BigQuery pipelines, and Looker dashboards consumed daily by Finance, Payments, Risk and Fraud .
- Build and maintain pipelines and dashboards covering the full transaction lifecycle — authorizations, settlements, chargebacks, disputes, and reconciliation — across multiple payment providers.
- Monitor and analyze provider performance, approval rates, chargeback trends, and conversion funnels to surface actionable insights for the Payments and Finance teams.
- Partner with the Risk team on fraud signal analytics — velocity patterns, authentication flows, card-level risk, and BIN-level exposure.
- Validate new payment flows before launch — defining instrumentation, success metrics, and monitoring thresholds for new providers or checkout experiences.
- Collaborate with Data Engineering to ensure payment pipelines are accurate, cost-efficient, and production-grade.
- Support ad-hoc deep dives and business questions from Payments, Finance, and Product stakeholders.
Requirements
- 3+ years of BI or analytics experience in a B2C or online environment, with a strong preference for candidates with a background in the payments field — including payment cycles, processor relationships, settlement flows, chargeback mechanics, fraud prevention, and card network dynamics.
- MUST HAVE Experience with payment flows and fraud prevention mechanisms — including issuer authentication, step-up challenges, liability shift, and decline reason analysis — is an advantage.
- Experience withLooker(LookML, explores, dashboards) — a significant advantage.
- Familiarity with similar transformation frameworks is an advantage.
- Strong communicator — able to bridge Payments ops, Finance, and the data team clearly and accurately.
- Detail-oriented and data-skeptical — you QA your own work before it reaches a stakeholder.
- A strong team player who takes full ownership of their domain from raw data to business decisions.
