
Data Analyst, Payments
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Lithuania.
β’ Oversee data collection and integration initiatives within the payments sector.
β’ Create and sustain performance reports for payment analytics.
β’ Track key performance indicators (KPIs) and deliver insights on payment performance, transaction volumes, and other metrics.
β’ Discover opportunities to enhance payment processes and minimize operational expenses, collaborating with Payment Operations and Product teams to improve payment routing and decrease payment failures.
β’ Work alongside data analysts and engineers to ensure the accuracy, completeness, and consistency of data.
β’ Partner with Finance, Customer Support, and Product Development teams to tackle payment-related challenges and seize opportunities.
β’ Conduct ad-hoc analysis and research to address specific business inquiries and aid in decision-making.
β’ Minimum of 4/5+ years of experience in business analytics within finance, banking, consulting, accounting, or related fields.
β’ Familiarity with payments data (PSP, acquiring, or risk systems) is a significant advantage.
β’ Working knowledge of the payments stack is highly desirable.
β’ Advanced SQL skills, with a willingness to improve further.
β’ Strong quantitative and analytical capabilities.
β’ Competence in identifying and recommending enhancements in the payments sector by analyzing transactional, business, and market data.
β’ Exceptional written and verbal communication skills, with the ability to present complex information clearly and translate data findings into actionable recommendations, particularly for non-technical stakeholders.
β’ Ability to deliver analyses and reports in a precise and well-organized manner.
β’ Capability to independently create structured dashboards (using Databricks, Tableau, or similar BI tools) is a plus.
β’ Experience in developing AI-powered refreshable/scheduled reports is a plus.
β’ Good command of English is required; proficiency is preferred.
β’ Opportunity to participate in our Employee Stock Options program.
β’ Chance to contribute to scaling a unique product.
β’ Various bonus systems: performance-based, referral, additional paid leave, and a personal learning budget.
β’ Paid volunteering opportunities.
β’ Flexible work location: office, remote, or a combination allowing travel.
β’ Personal and professional growth at an accelerated pace, supported by well-defined feedback and promotion processes.
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