NTT Indonesia Technology is part of NTT Ltd. companies in Indonesia.
NTT Ltd. is a leading global technology services company. Working with organizations around the world, we achieve business outcomes through intelligent technology solutions. For us, intelligent means data driven, connected, digital and secure. Our global assets and integrated ICT stack capabilities provide unique offerings in cloud-enabling networking, hybrid cloud, data centers, digital transformation, client experience, workplace, and cybersecurity. As a global ICT provider, we employ more than 50,000 people in a diverse and dynamic workplace that spans 57 countries, trading in 73 countries and delivering services in over 200 countries and regions. Together we enable the connected future.
NTT Ltd. helps client by deliver a secure and connected future that empowers our people, clients, and communities. We've focused on market feedback to define our market aspiration which is to be a long-term strategic partner for our clients around the world by enabling their digital transformation, with our global capabilities, expertise and full-stack technology services delivered through our integrated services platform.
Visit us at services.global.ntt
Develop and implement solutions/dashboards in close collaboration with Controlling / Application Management and IT
Evaluate business processes, carry out continuous reviews, identify areas of improvement
Gather, review and analyze business requirements, ensure that solutions meet the needs and requirements of the organisation
Data visualization through implementing Power BI Dashboard
Perform and/or support user acceptance testing
A bachelor's degree in computer science, information systems, mathematics, statistics, or a related field is often required.
2 years of experience in a BI or data analysis role.
Experience with relevant tools and technologies such as SQL, ETL (Extract, Transform, Load) tools, data warehousing, and data visualization tools.
Proficiency in SQL
Experience with ETL tools (SQL server Integration Services) and data visualization tools (Power BI).
Knowledge of database systems (e.g., SQL Server, Oracle, MySQL) and programming languages (e.g., Python, R).
Strong analytical and planning skills
English proficiencies in writing and speaking
Good communication and presentation skills