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kumparan Linkedin · Posted yesterday

Business Intelligence Analyst

Jakarta

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Indexed description

Responsibilities

  • Partner with cross-functional stakeholders (product, marketing, content, revenue) to translate business questions into analytical frameworks and deliverables
  • Build and maintain dashboards, reports, and self-serve analytics tools that support day-to-day decisions
  • Conduct deep-dive analyses to surface trends, opportunities, and risks across engagement, monetization, audience growth, and content performance
  • Design and analyze experiments (A/B tests, feature rollouts) to validate hypotheses and quantify business impact
  • Develop forecasting and quantitative models to support both short-term planning and long-term strategy
  • Define and standardize key metrics across teams, ensuring consistency in how the business measures success
  • Collaborate with Data Engineering on data quality, modeling, and pipeline improvements
  • Mentor junior analysts and champion data literacy and a data-driven culture across the organization

Qualifications

  • 3+ years of experience in business analytics, BI, or data analytics roles (media, digital, or consumer tech industries strongly preferred)
  • Strong proficiency in SQL — comfortable writing complex queries, optimizing performance, and working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar)
  • Hands-on experience with modern BI/visualization tools (Looker, Tableau, Power BI, Metabase, or similar)
  • Working knowledge of Python (or R) for analysis, automation, and statistical modeling
  • Solid grasp of statistics, experimentation methodology, and forecasting techniques
  • Strong business acumen with deep understanding of media industry metrics (DAU/MAU, retention, ARPU, CTR, watch time, ad revenue metrics, etc.)
  • Excellent communication skills — able to translate complex analyses into clear narratives for both technical and non-technical audiences
  • Self-driven, comfortable with ambiguity, and able to manage multiple priorities under tight deadlines

Nice To Have

  • Familiarity with data modeling concepts and tools like dbt
  • Experience with version control (Git) and code-based analytics workflows
  • Exposure to machine learning or predictive modeling
  • Prior experience mentoring analysts or leading analytics projects end-to-end
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