Deskripsi Pekerjaan
Are you a data-driven professional with a passion for transforming complex information into actionable business insights? Dwi Cermat Indonesia is looking for a talented Business Intelligence Analyst to join our growing team in Jakarta. In this role, you will be the bridge between technical data sets and strategic business decisions, helping our leadership team identify growth opportunities and process improvements.
You will play a pivotal role in designing, building, and maintaining robust reporting systems that empower stakeholders across the organization. The ideal candidate is not just a master of SQL and visualization tools, but a critical thinker who understands the 'why' behind the numbers. If you thrive in a fast-paced environment and are eager to drive tangible business impact through data-backed recommendations, we invite you to apply.
Tanggung Jawab
- Develop, maintain, and automate dashboards using BI tools to track key business performance indicators.
- Translate complex data requirements into clear, technical, and non-technical reporting structures.
- Propose and define new business process improvement opportunities based on deep data analysis.
- Work closely with department management to prioritize data projects that drive revenue and operational efficiency.
- Conduct deep-dive investigations into data anomalies to provide root-cause analysis.
- Clean, transform, and model data from multiple sources to ensure accuracy and consistency.
- Present actionable insights and recommendations to senior stakeholders to support strategic decision-making.
Kualifikasi
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Minimum 2-3 years of proven experience in a Business Intelligence, Data Analysis, or Analytics role.
- Strong proficiency in SQL and experience with database management/data warehousing.
- Expertise in data visualization tools such as Tableau, Power BI, or Looker.
- Solid understanding of statistical analysis and predictive modeling concepts.
- Excellent communication skills with the ability to explain technical findings to non-technical audiences.
- Proven ability to manage multiple priorities in a dynamic, high-growth environment.