About SnappPay

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:

The mission of the Marketing Data Analyst is to transform marketing and business data into actionable insights that drive growth, optimize campaigns, and support strategic decision-making. This role ensures that all marketing initiatives are guided by accurate, timely, and well-analyzed data, while building scalable reporting systems and dashboards that enhance efficiency and enable data-driven decisions across the marketing organization.

Responsibilities:

• Deliver regular and ad-hoc reports on marketing performance, translating complex data into clear, actionable insights for stakeholders.
• Develop, maintain, and optimize dashboards and reports tracking key marketing KPIs.
• Write and maintain SQL queries and perform advanced data analysis using Python (pandas, NumPy, scikit-learn) to support marketing initiatives.
• Build and maintain automated workflows and analytical tools to improve reporting efficiency and scalability.
• Support A/B testing and CRO initiatives, defining success metrics, analyzing results, and providing recommendations.
• Monitor marketing KPIs, identifying trends, anomalies, risks, and opportunities to optimize campaigns and marketing strategies.
• Collaborate with cross-functional teams (Product, Commercial, Finance) to align on goals, data requirements, and reporting needs.
• Ensure data accuracy, consistency, and proper documentation of marketing metrics and workflows.
• Manage multiple requests and priorities, assessing costs, benefits, and impact to focus on high-value initiatives.
• Communicate insights and recommendations effectively to marketing leadership and stakeholders.

Requirements:

• Strong problem-solving and analytical abilities with attention to data accuracy, consistency, and documentation.
• Python expertise with hands-on experience in data analysis, cleaning, and exploration.
• Advanced SQL skills for complex queries and data manipulation.
• Strong familiarity with marketing fundamentals.
• Excellent communication and data storytelling skills for non-technical audiences.
• Experience building automated data workflows and analytical tools.
• Proficient in BI and data visualization tools, preferably Power BI.
• Advanced Excel/Google Sheets skills for reporting and analysis.
• Practical knowledge of fundamental machine learning algorithms and statistics is preferred.
• Solid business acumen, translating analysis into measurable growth, revenue, and efficiency impact.