🕒 yesterday
Analyze datasets for organizational projects, produce stakeholder reports that turn data into actionable insights, and maintain Python scripts and data infrastructure in collaboration with the Data Manager, Development team, and CEO.
Payments Data Analyst
📅 Aug 26
Data AnalysisSQLBusiness IntelligencePython
📜 Description
- Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.
- Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.
- Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
- Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments.
- Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.
🛠️ Requirements
- 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.
- Advanced SQL skills, including complex queries and window functions.
- Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar.
- Experience with Python (Pandas, Jupyter Notebook) for data analysis.
- Strong analytical thinking and problem-solving skills.
✨ Benefits
- You most.
- Investment in your development: paid language courses
- Access to various learning platforms
- Mindfulness benefit
- Career growth in a fast-scaling project with opportunities to influence technical decisions.
Full job description
Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.
We're looking for a Payments Data Analyst to join our Product team and transform payment and product data into actionable insights that improve merchant success, platform performance, and business decisions.
As a Payments Data Analyst, you will be a strategic partner to the Product, Merchant Solutions, Processor Integrations, and ML teams, helping drive data-informed decisions across our payment platform.
You will analyze payment performance, identify trends and optimization opportunities, evaluate the impact of product initiatives, and provide recommendations that improve approval rates, payment efficiency, and merchant experience.
Job Responsibilities:
Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.
Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.
Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments.
Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.
Define, monitor, and improve key product and payment KPIs.
Investigate merchant and processor performance to identify root causes and recommend improvements.
Collaborate with Product Managers to support product discovery, feature prioritization, and success measurement.
Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency.
Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimization.
Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders.
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