Explore and analyse any and all available data to influence future projects and initiatives.
First line of interfacing of data and analytics team with business as well as IT organization.
Partner with business stakeholders in products, marketing, operations and other banking functions and support in building our analytical data platforms and infrastructure.
Be a resource and advocate for data within the organization by teaching and empowering others to use data.
Generate data insights for commercial consumption and develop library of commercial insights which can be deployed by BI / data science teams in their respective areas.
Translate business needs to technical specifications involving the fast testing on non-systematic data / new data sources and existing data ecosystem.
Prototype / create business requirement document.
Automation and digitization of information dashboards.
Supporting the technical lead in alignment of BI and data science team’s requirement towards underlying data sources (data infra.) to allow quick and efficient data extracts to support analysis, dashboard development or data science use cases.
Participate in the development of strategies, operating models, roadmaps and business cases for Analytics and BI solutions
Co-develop and implement strategies to support ongoing data management needs, such as governance, technology shifts, and regulatory compliance changes.
Hire, train, and supervise power users’ team and ensure that team meets the reporting and analytical needs of the business users.
Supporting development of analytics roadmap along with BI team and data science team.
Hire, train and deploy high potential local talent in the area of power user community.
Bachelor's Degree, Post Graduate Diploma or Professional Degree in computer science or equivalent qualifications.
A SQL expert, with mastery in writing efficient and re-useable codes and have QA’s and optimized other people’s queries.
Desirable in open source data scripting and analysis tools such as Python
Understanding of banking domain
Degree in numerical stream (Science, Engineering) with preferred business qualification.
Minimum 6 - 8 years of professional experience in supporting businesses with large and complex data legacy and dependency on data insights, data analysis and dashboard development.
Good communication in both English and Myanmar.
Strong communication skill and responsible.
Excellent numerical, analytical and problem solving skills.