Business Intelligence Officer at ZainCash

Baghdad, Baghdad Governorate, Iraq -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Excel, Python, R, ETL, Data Warehousing, Tableau, Power BI, Data Visualization, Agile, Statistical Modeling, Data Cleaning

Industry

Financial Services

Description

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. 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.

Responsibilities

The role involves collecting and transforming business data to create interactive dashboards and reports. It also requires conducting deep financial and operational analysis to provide recommendations for performance enhancement.