Business Assistant Manager

About the Role:

An Assistant Manager Data Team will play a pivotal role in developing and executing the BI strategy, leveraging data to drive informed decision-making, and ensuring data integrity and accuracy. This role requires expertise in BI tools, data visualization, and a strong ability to collaborate with cross-functional teams to deliver actionable insights.

Key Responsibilities:

• Execution of the organization's BI strategy, aligning it with business goals and objectives.
• Oversee data analysis activities, including data mining, trend analysis, and predictive modelling, to extract actionable insights and support decision-making.
• Create and manage comprehensive reports, dashboards, and data visualizations that provide stakeholders with timely, relevant, and accurate information.
• Establish and maintain data governance policies, procedures, and standards to ensure data quality, consistency, and compliance with regulatory requirements.
• Manage a team of BI professionals, including data analysts and data engineers, providing guidance, mentoring, and fostering a culture of continuous improvement.
• Manage data mapping, data reconciliation and data conversion.
• Prepares department budget and monitors expenditure of budgeted funds.
• Recommends and develops plans for systems development and operations, hardware and software purchases, budget, and staffing.
• Manages the development, implementation, installation, and operation of information and functional systems for the organization.
• Creates and maintains the network and databases for the company.
• Ensures stable operation of the network and databases by consistently scheduling and implementing updates and functionality tests; identifies and resolves any issues that are identified during the testing process.
• Schedules and produces periodic reports regarding MIS performance.
• Reviews reports of computer and peripheral equipment production, malfunction, and maintenance to determine costs and impact, and address problems.
• Develops, maintains, and tests disaster recovery plans.

Qualifications:

• 5-8 years’ experience in MIS with Data driving business value through data analytics in the Fintech Industry.
• Proficiency in BI tools such as Tableau, Amazon Quicksight, Power BI, or similar platforms, with the ability to design and implement complex data visualizations.
• Strong data analysis skills, including data mining, SQL, and data modelling. Experience with ETL (Extract, Transform, Load) processes is a plus.
• Exceptional leadership and communication skills, with the ability to effectively collaborate with cross-functional teams, present findings to executives, and drive a data-driven culture within the organization.
• Knowledge of data governance best practices, data quality management, and compliance with data privacy regulations.
• Hands-on experience on Ms Applications in particular Visual basic, Marco, Ms Advance Excel, Ms Access and Ms PowerPoint, SQL, Business Intelligence toolsets