SENIOR MANAGER, IT (ANALYTICS)
7-Eleven
- Pudu, Kuala Lumpur
- Permanent
- Full-time
- To lead a team in designing and developing the analytics solutions.
- To manage the end-to-end analytics platform life cycle, including planning, development, deployment, monitoring, maintenance, upgrading, and support of digital and analytics systems.
- To build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- To oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
- To organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
- To ensure data integration and data integrity across the entire data platform.
- To manage the analytics team to ensure alignment and on-time delivery of the solution.
- To define, build, and execute data service strategy and roadmap to ensure services are scalable to meet current and future needs.
- To lead the enterprise data management activities such as gathering business and technical requirements, collecting data, designing data architecture, developing the data pipelines and model, and deploying and maintaining/monitoring the performance of data solutions and data governance.
- Provide technical leadership of the data team by driving best practices for integrating data across diverse data sources using the appropriate technology.
- Manage and facilitate the adoption of enterprise data platforms to deliver business insights and value with strong consultative experience.
- Bachelor's Degree in Computer Science or related fields or related experience, MSc/MA/MBA will be a plus.
- Minimum of 8 years of professional experience in the field of information technology, with at least 3 years in an IT Managerial role.
- More than 5 years of solid experience in analytics and business intelligence of digital platforms.
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Experienced in analysis, implementation, and evaluation of IT systems and their specifications.
- Strong problem solving, quantitative and analytical abilities.
- Strong interpersonal skills at building relationships across different stakeholders and functional group.
- Knowledge of Qlik or any other data analytics platform.
- Python, SQL advanced expertise, and AWS Analytics Services knowledge will be a plus.