SnappPay is the first and leading BNPL provider in Iran, started in 2020. We are leveraging Financial Technologies to reshape Iranian’s experience of consumer credit. Supporting Snapp Group’s mission of enhancing Iranian people's quality of life through Internet services, SnappPay’s mission is to bring financial freedom to all Iranians by providing them with better, smarter, and more efficient solutions for payment and shopping.
About the Role:
As a Senior Business Data Analyst within the Commercial Strategy & Insight team, you will be responsible for transforming complex commercial data into clear, actionable insights that support strategic and operational decision-making. You will work closely with the Strategic Planning Expert, Market Intelligence Expert, and cross-functional Commercial teams to provide a comprehensive view of business performance, identify growth opportunities, and improve decision quality through data.
Responsibilities:
Analyze large and diverse commercial datasets to identify patterns, trends, anomalies, performance gaps, and growth opportunities.
Monitor and analyze key business metrics across revenue, GMV, orders, customers, merchants, categories, channels, and other commercial KPIs.
Design, develop, and maintain analytical reports, dashboards, and visualizations using BI tools.
Conduct deep-dive analyses including funnel, cohort, segmentation, retention, conversion, customer behavior, and merchant performance analysis.
Define, monitor, and continuously improve Commercial KPIs in collaboration with the Strategic Planning Expert.
Support managerial and executive decision-making through clear, actionable, and insight-driven analyses and recommendations.
Perform root-cause analysis to explain significant changes in business performance and translate findings into practical actions.
Evaluate the impact of commercial initiatives, campaigns, and projects through pre/post analysis and impact measurement.
Build analytical models for forecasting, scoring, prioritization, segmentation, and opportunity sizing when required.
Collaborate with the Market Intelligence Expert to combine internal performance data with market and competitor insights.
Work closely with Commercial, Sales, Marketing, Product, Finance, Operations, and Data teams to understand business questions and deliver data-driven solutions.
Ensure data quality through validation, cleaning, reconciliation, and contribution to metric and data standardization processes.
Design, optimize, and troubleshoot complex SQL queries and analytical datasets.
Identify opportunities for automation and reduce dependency on manual and repetitive reporting.
Communicate insights effectively to both technical and non-technical stakeholders through strong data storytelling.
Requirements:
4+ years of hands-on experience in Business Analytics, Data Analytics, Commercial Analytics, BI, or related roles.
Strong proficiency in SQL and proven ability to work with large and complex datasets.
Advanced proficiency in Microsoft Excel or Google Sheets.
Practical experience with BI and visualization tools such as Power BI, Tableau, Metabase, or similar platforms.
Working proficiency in Python for data analysis, automation, or analytical modeling.
Solid understanding of relational databases, data modeling, data warehouses, and analytical data structures.
Strong understanding of statistical analysis, experimentation, forecasting, and analytical methodologies.
Strong business acumen and the ability to translate business problems into analytical frameworks.
Proven ability to convert raw data into clear insights, recommendations, and business actions rather than only producing reports.
Strong analytical thinking, structured problem-solving, and root-cause analysis skills.
High attention to detail and a strong commitment to data accuracy and consistency.
Strong communication and presentation skills, with the ability to present complex findings clearly to managerial and executive audiences.
Ability to manage multiple analytical tasks and projects simultaneously while prioritizing effectively and meeting deadlines.
Experience in E-commerce, Fintech, Marketplace, Retail, or other high-volume transactional businesses is a strong advantage.
اسنپپی، اولین ارائه دهنده BNPL (الان بخر، بعدا پرداخت کن) در ایران با نام سرویس اعتباری است که ارائه این سرویس را با هدف ایجاد فراگیری مالی از سال ۹۹ آغاز کرد. این مدل یکی از جدیدترین شیوههای پرداخت در دنیاست که محبوبیت زیادی به خصوص بین نسل جوان دارد. ارائه این خدمت توسط اسنپپی، نقطه عطفی در صنعت پرداخت و ارائه اعتبار خرد در ایران بود که با استقبال گسترده کاربران مواجه شد.