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