Thorough understanding of the business than designing data strategy and systems based on business view
Overseeing the collection, storage, management, quality, and protection of data.
Determine where to cut costs and increase revenue based on insights derived from data.
Lead, motivate, and manage data engineers and data analyst teams.
Effectively communicate the status, value, and importance of data collection to executive members and staff.
Having implemented min 2 : machine learning and/or recommendation system on production.
Experience in various BI technologies, especially modern, cloud-based ones (e.g. Google Cloud Platform, BigQuery, dbt, Looker, other modern data stack; Snowflake, Redshift) min. 2 platform
Min 2 years experience in queuing and message broker (Kafka, RabbitMQ, Google Cloud Pub/Sub, NATS). min. 1 platform
Data storytelling
Project management skills.
Bachelor's degree in information technology or related field.
Master's degree preferred.
5 years experience in a senior-level data management role from a startup company, banking/banking vendor company.
Good knowledge and experience with csr activities (for CSR internship.
Available for internship for at least 5 (five) months with hybrid concept (WFH-WFO).