Data Analyst , DSP Payments

🗂 We're Hiring: Data Analyst – DSP Payments🕒 Employment Type: Full-Time💼 Level: Mid-Level🏢 Industry: Financial Services / FinTech / Digital PaymentsWe are seeking a detail-oriented and analytical Data Analyst – DSP Payments to support our Digital Service Provider (DSP) Payments team. In this role, you will analyze payment data, monitor transaction performance, generate business insights, and develop reports that support operational efficiency, risk management, and strategic decision-making. The ideal candidate has strong analytical skills, experience working with large datasets, and a passion for leveraging data to optimize payment operations.🎯 Key ResponsibilitiesCollect, analyze, and interpret payment and transaction data to identify trends, patterns, and business opportunities.Develop and maintain dashboards, reports, and visualizations to monitor payment performance and key business metrics.Analyze payment processing data to improve operational efficiency, customer experience, and transaction success rates.Monitor KPIs related to payment processing, settlements, fraud, chargebacks, and reconciliation.Collaborate with Product, Finance, Operations, Risk, and Technology teams to support data-driven decision-making.Perform data validation, cleansing, and quality assurance to ensure data accuracy and integrity.Identify anomalies, operational issues, and opportunities for process improvement through advanced data analysis.Support forecasting, budgeting, and business planning by providing analytical insights.Assist in automating reports and optimizing data workflows using BI and analytics tools.Prepare regular management reports and present findings to stakeholders.Ensure compliance with data governance, security policies, and regulatory requirements.Stay updated on payment industry trends, digital payment technologies, and analytics best practices.✅ RequirementsProven experience as a Data Analyst, Business Analyst, Payments Analyst, or similar analytical role.Experience in digital payments, banking, FinTech, financial services, or payment processing is highly preferred.Strong proficiency in SQL for querying and analyzing large datasets.Experience with data visualization tools such as Power BI, Tableau, Looker, or similar platforms.Advanced skills in Microsoft Excel, including PivotTables, Power Query, and advanced formulas.Knowledge of Python or R for data analysis is an advantage.Understanding of payment systems, transaction processing, reconciliation, fraud monitoring, and financial reporting is preferred.Strong analytical, critical thinking, and problem-solving skills.Excellent communication and presentation skills with the ability to explain complex data to non-technical stakeholders.Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business Analytics, Economics, or a related field.🌟 What We OfferOpportunity to work in a fast-growing digital payments and financial technology environment.Exposure to large-scale payment platforms, business intelligence tools, and data-driven decision-making.Career progression opportunities into Senior Data Analyst, Business Intelligence Analyst, Payments Analytics Manager, Data Science, or Product Analytics roles.A collaborative, innovative, and technology-driven workplace.Ongoing training, professional development, and certification opportunities.Competitive compensation and comprehensive benefits package.