Business Intelligence

DANA Indonesia


Tanggal: 1 hari yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh

About Business & Market Intelligence

The Business & Market Intelligence Department plays a critical role in supporting data-driven decision-making across the organization. The team is responsible for gathering, analyzing, and interpreting data related to market trends, industry developments, competitor activities, and customer behavior. By transforming complex data into actionable insights, the department enables stakeholders to identify opportunities, mitigate risks, and formulate effective business strategies. In addition, the team continuously monitors market dynamics and provides strategic recommendations to enhance business performance, strengthen competitive positioning, and drive sustainable growth.


About the role

As a Business Intelligence, you will act as a strategic business partner, bridging the gap between deep data infrastructure and business unit operations. You will empower the business team by building dedicated data marts, intuitive dashboards, and delivering deep-dive insights that directly drive core business metrics.


You'll be working on:

  • Business Partnership: Serve as the dedicated data partner for the business unit, developing a deep understanding of their workflow, challenges, and strategic goals.
  • Datamart Creation & Architecture: Design and build optimized datamarts specifically tailored for efficient, ongoing business analysis.
  • Dashboard Development: Create, maintain, and scale interactive data visualizations and dashboards (primarily using Tableau) to track key performance indicators.
  • Deep-Dive Analysis: Conduct rigorous, end-to-end data analysis to uncover root causes, identify growth opportunities, and provide actionable recommendations to business users.

Qualifications:

  • Minimum 2 years of proven professional experience working as a Business Intelligence Analyst or Data Analyst.
  • Strong, hands-on proficiency in SQL to manipulate complex datasets, merge distinct data sources, and build production-ready analytics tables.
  • Solid experience building impactful, user-friendly dashboards in data visualization tools (with a strong preference for Tableau).
  • Demonstrated capability in business analysis—the ability to look past the numbers to understand the actual business mechanics and user needs.
  • Exceptional problem-solving skills, with a structured approach to tackling ambiguous business questions.
  • Highly comfortable and proactive in leveraging Large Language Models (LLMs) and modern AI tools to optimize daily analytics workflows and coding.
  • Foundational knowledge of, or experience in, experimentation framework setup and A/B testing methodologies.
  • Familiarity with Python for advanced data processing, scripting, and analysis


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