Business Intelligence (Assistant Manager to Senior Manager)
[December 8, 2023 ]
- Analyse large sets of financial and operational data to identify trends, patterns, and insights.
- Develop and generate regular reports for management to monitor key performance indicators (KPIs) and make informed decisions.
- Design and Mockup interactive dashboards that visually represent complex data in a comprehensible manner.
- Ensure the quality, accuracy, and integrity of data through the implementation and maintenance of data governance policies.
- Work with IT and other stakeholders to establish data quality standards and procedures.
- Collaborate with business leaders to understand their goals and objectives.
- Provide insights and recommendations based on data analysis to support strategic planning and decision-making processes.
- Monitor the performance of different banking products, services, and channels.
- Identify areas for improvement and work with relevant teams to implement changes to enhance overall performance.
- Utilize statistical models and predictive analytics to forecast future trends and performance.
- Support the development of predictive models for credit risk assessment and fraud detection.
- Collaborate with cross-functional teams, including IT, finance, marketing, and risk management.
- Communicate findings and insights to both technical and non-technical stakeholders effectively.
- Provide training and support to bank staff on the use of BI tools and interpretation of data.
- Ensure that end-users have the necessary skills to make data-driven decisions.
- Ensure that BI processes and practices comply with regulatory requirements.
- Implement and maintain security measures to protect sensitive financial and customer data.
- Stay updated on advancements in BI tools, technologies, and methodologies.
- Continuously seek opportunities to improve BI processes and enhance the efficiency and effectiveness of data analysis.
- Other tasks are assigned and directed by the CEO.
- Degree preferably Economics, Business studies or related matters
- 5-8 years of professional experience in qualitative & quantitative analytics
- Proven experience in business intelligence, data analysis, or data management within the banking or financial services sector.
- Proficiency in business intelligence tools such as Power BI, Tableau, looker or similar platforms.
- Knowledge of statistics and experience using advanced statistical packages for analysing datasets (SPSS, SAS etc)
- Experience creating excel models and dashboards
- Very creative, proactive, good team player and highly self-driven
- Working-level proficiency in both English and Burmese
- Excellent leadership, project management, and team collaboration skills.
- Exceptional communication and presentation abilities, with the capability to convey complex data insights to non-technical stakeholders.
- Knowledge of regulatory requirements and compliance relevant to data management and security in the banking industry.