Marketing Data Analyst

About Paymob
Paymob is a leading FinTech company revolutionizing payment solutions in the MENA region. At Paymob, we believe in enabling businesses to thrive by offering secure, innovative, and scalable tools that simplify payments for everyone.
We’re proud to power millions of transactions for some of the biggest names in the region, with a team of innovators spread across Egypt, UAE, KSA and Oman.
We foster a value driven culture focused on continuous learning, empowering our people, and collaborating as one global team to create real impact.

Job Purpose:
To collect, analyze, and interpret marketing data to generate actionable insights, measure campaign performance, identify trends, and support data-driven decision-making that enhances marketing effectiveness and business growth.

Key Responsibilities:

1. Data Collection & Management

• Collect, clean, and validate data from multiple sources (databases, tracking tools, spreadsheets, APIs).
• Ensure data accuracy, consistency, and completeness.
• Maintain and document data definitions, metrics, and business logic.
• Support data integration from tools such as CRM, marketing platforms, product analytics, and financial systems.

2. Data Analysis & Insights

• Analyze large datasets to identify trends, patterns, and anomalies.
• Translate raw data into actionable insights that support business decisions.
• Perform exploratory analysis to answer ad‑hoc business questions.
• Conduct cohort, segmentation, and funnel analysis when needed.

3. Reporting & Dashboarding

• Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker).
• Track and report on key business KPIs.
• Automate recurring reports to improve efficiency and consistency.
• Ensure reports are easy to understand for non‑technical stakeholders.

4. KPI Definition & Measurement

• Work with stakeholders to define clear metrics and success KPIs.
• Ensure metrics align with business goals and are measured consistently.
• Monitor performance and proactively flag risks, drops, or opportunities.

5. Stakeholder Collaboration

• Partner with teams such as: Marketing , Product , Finance , Operations
• Understand business needs and convert them into analytical tasks.
• Present insights clearly through data storytelling and visualizations.
• Support leadership with data‑driven recommendations.

6. Data Quality & Governance

• Identify data gaps, inconsistencies, or tracking issues.
• Work with engineering or analytics teams to fix data pipelines and tracking.
• Enforce data governance standards and best practices.
• Ensure compliance with privacy and data protection rules where applicable.

7. Advanced Analysis

• Build predictive or statistical models (trend forecasting, regression, hypothesis testing).
• Run A/B test analysis and experimentation measurement.
• Support growth, revenue, or optimization initiatives with advanced analytics.

1. SQL for data querying

• Excel / Google Sheets for analysis and modeling
• BI tools (Tableau, Power BI, Looker)
• Analytics tools (Google Analytics, Firebase, Adjust, Amplitude, etc.)
• Optional: Python or R for advanced analysis

2. Documentation & Knowledge Sharing

• Document dashboards, reports, and methodologies.
• Share insights, learnings, and best practices with teams.
• Support data literacy across the organization.

Why You’ll Love It Here
At Paymob, our people are at the core of everything we do. Our culture is built around values that drive how we work, grow, and succeed together:
·      We offer competitive compensation packages and performance driven incentive programs.
·      We offer a flexible hybrid work model that supports both in office collaboration and remote productivity.
·       We invest in continuous career coaching to support your growth and long-term development.
·      We collaborate across borders, embracing diversity and shared success.