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Manager - Business Intelligence

ZainCash
Full-time
On-site
Baghdad Baghdad Governorate Iraq

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:

The Manager of Business Intelligence will be a strategic leader responsible for establishing and executing the vision for how we use data to drive business decisions. You will build and mentor a high-performing team of BI analysts and engineers, oversee our data infrastructure, and create a "single source of truth" for all key business metrics. Your work will directly influence product development, marketing strategy, operational efficiency, and risk management, making a tangible impact on our company's growth and success.

  • Strategic Leadership
  • Develop and own the company-wide BI and analytics roadmap, aligning it with strategic business objectives.
  • Act as the primary data evangelist, fostering a self-service, data-driven culture across all departments (Product, Marketing, Finance, Operations, etc.).
  • Collaborate with C-level executives and department heads to understand their analytical needs and deliver impactful insights.
  • Define and monitor Key Performance Indicators (KPIs) for the business, providing regular performance reports to the leadership team.
  • Manage the BI unit's budget, resources, and technology vendor relationships.

Data Analytics & Visualization

  • Oversee the development of dashboards and reports to provide clear, actionable insights.
  • Ensure data visualization aligns with business and product KPIs, enabling effective decision-making.
  • Continuously optimize dashboards for performance and usability.
  • Leverage relational databases (e.g., SQL Server, MySQL, Oracle) to design and manage data pipelines supporting BI tools.

Data Management

  • Ensure data integrity, quality, and security across all BI processes.
  • Collaborate with IT and data engineering teams to ensure seamless data integration and availability.

Collaboration & Stakeholder Engagement

  • Work closely with product managers, and cross-functional teams to understand data needs and deliver tailored solutions.
  • Translate complex business requirements into clear technical specifications for BI projects.
  • Present insights and recommendations to senior leadership and stakeholders.

Team Leadership

  • Build, lead, and mentor a high-performing BI team.
  • Promote professional development and continuous learning within the BI department.
  • Allocate resources effectively to meet project timelines and business priorities.

Experience

  • Minimum of 5 years of experience in BI, data analytics, or related fields, with at least 3 years in a leadership role.
  • Extensive experience with Tableau, including dashboard creation, performance optimization, and advanced analytics
  • Proven experience working with relational databases, including SQL query optimization and data modeling.
  • Proven track record of delivering data-driven solutions in a product-driven environment.

Skills

  • Expert-level proficiency in SQL for complex data querying and manipulation.
  • Deep expertise with at least one major BI visualization tool (e.g., Tableau, Looker, Power BI, Qlik).
  • Strong understanding of data governance, quality assurance, and security protocols
  • Proficiency in managing and optimizing relational databases.
  • Exceptional leadership, communication, and stakeholder management skills
  • Ability to translate complex data into clear and impactful business insights.

Preferred Qualifications:

  • Familiarity with data analysis and scripting languages like Python or R.
  • Knowledge of advanced analytics, statistical modeling, and machine learning concepts.
  • Experience with financial-specific data challenges, such as fraud detection, risk modeling, and regulatory compliance (e.g., KYC, AML).