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zaincash-1

Business Intelligence Officer

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About Zaincash

ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. For more information, please visit www.zaincash.iq.

Responsibilities:

  • Data Preparation: Collect, clean, and transform business data from multiple sources, ensuring its accuracy and integrity.
  • In-depth Analysis: Conduct deep analysis of financial and operational data to discover trends, patterns, and opportunities, providing recommendations to enhance performance.
  • Statistical Modeling: Use statistical methods and advanced analytics to support budgeting, forecasting, and risk management.
  • Cross-Functional Collaboration: Work with teams such as Product, Marketing, and Risk to understand their needs and deliver BI-based solutions and reports.
  • Data Visualization: Prepare and present complex analytical findings in a simplified and clear manner to facilitate decision-making.
  • Continuous Improvement: Contribute to enhancing BI processes by monitoring the latest trends in fintech and data analysis and applying best practices in data governance.
  • Dashboard Development: Design, develop, and maintain interactive dashboards and reports using BI tools like Tableau and Power BI, and automate reports to increase efficiency.

Requirements

Education:

Bachelor’s degree in a quantitative field (e.g., Business, Finance, Statistics, Computer Science).

Experience:

1+ years of experience in data engineering or data analysis, preferably within Fintech or Financial Services.

Skills:

  • SQL: Expert in data extraction and transformation logic.
  • Excel: Advanced manual reporting, data cleaning, and complex formula mastery.
  • Programming: Functional knowledge of Python or R for statistical modeling.
  • Architecture: Understanding of ETL processes and data warehouse concepts.
  • Visualization: Strong ability to design and maintain interactive dashboards.
  • Workflow: Comfortable working in Agile-driven data teams.