Business Intelligence Analyst

kumparan; Jakarta Pusat; On-site; IDR 200,880,000 - 312,480,000; Full time

Job summary

kumparan in Jakarta seeks a data analytics professional to translate business questions into analytical frameworks, build dashboards, and enable data-driven decisions. You will partner with product, marketing, content, and revenue teams to deliver actionable insights and scalable analytics tooling.

You will design experiments, perform deep-dive analyses, and develop forecasting models to support short- and long-term planning while mentoring junior analysts and promoting a data-driven culture.

Qualifications

• 3+ years of experience in business analytics, BI, or data analytics roles in media, digital, or consumer tech.
• Strong proficiency in SQL with complex queries and large cloud data warehouses.
• Hands-on experience with modern BI/visualization tools (Looker, Tableau, Power BI, Metabase).
• Working knowledge of Python (or R) for analysis, automation, and modeling.
• Solid grasp of statistics, experimentation methodology, and forecasting techniques.
• Strong business acumen with media industry metrics (DAU/MAU, retention, ARPU, CTR, watch time, ad revenue).
• Excellent communication skills to translate analyses for technical and non-technical audiences.
• Self-driven, able to manage multiple priorities under tight deadlines.

Responsibilities

• Partner with cross-functional stakeholders to translate business questions into analytical frameworks and deliverables
• Build and maintain dashboards, reports, and self-serve analytics tools for day-to-day decisions
• Conduct deep-dive analyses to surface trends, opportunities, and risks across engagement and monetization
• Design and analyze experiments (A/B tests, feature rollouts) to validate hypotheses
• Develop forecasting and quantitative models for short- and long-term planning
• Define and standardize key metrics across teams for consistent measurement
• Collaborate with Data Engineering on data quality, modeling, and pipelines
• Mentor junior analysts and promote data literacy across the organization

Skills

SQL

BI tools

Python

Statistics

Communication

Stakeholder management

Education

Bachelor's degree

Tools

Looker

Tableau

Power BI

Metabase

dbt

Job 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