Data Analyst

Sekolah.mu; Jakarta Pusat; On-site; IDR 89,280,000 - 156,240,000; Full time

Job summary

Sekolah.mu is seeking a data-savvy analyst to interpret data, generate actionable insights, and support data-driven decision-making across teams.

You'll develop dashboards, validate data, and translate business questions into measurable objectives while collaborating with cross-functional teams. Fresh graduates welcome with proficiency in SQL, Python or R, and BI tools.

This role offers exposure to education sector analytics and requires strong communication in Bahasa Indonesia and English.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or other relevant quantitative disciplines.
• 1–2 years of experience as a Data Analyst or in a relevant analytical role; fresh graduates welcome with demonstrated skills.
• Strong analytical and problem-solving skills and the ability to translate business questions into data-driven solutions.
• Strong mathematical and quantitative skills to support data collection, measurement, analysis, and interpretation.
• Proficiency in SQL.
• Familiarity with Python or R is preferred.
• Proficiency in BI and data visualization tools (Tableau, Looker Studio/Data Studio, Metabase, or equivalent).
• Ability to develop clear, insightful, and visually compelling reports and presentations.
• Familiarity with statistical methods is a plus.
• Strong verbal and written communication skills.
• Good command of Bahasa Indonesia and English, both written and spoken.

Responsibilities

• Define business problems and analytical objectives by translating business needs into clear questions, objectives, and success metrics.
• Assess data feasibility and requirements, including data sources, limitations, and the appropriate analytical approach and end product.
• Prepare, validate, and analyze data by developing data models/marts, performing data testing, and identifying meaningful patterns and insights.
• Develop dashboards, visualizations, and reports that effectively communicate findings and answer key business questions.
• Deliver actionable insights and recommendations through clear data storytelling tailored to technical and non-technical stakeholders.
• Partner with cross-functional teams to ensure data solutions are feasible, relevant, aligned with business priorities, and continuously improved through feedback loops.

Skills

Analytical skills

Problem solving

Communication

Bahasa Indonesia & English

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science

Tools

SQL

Python

R

Tableau

Looker Studio

Data Studio

Metabase

Job description

Interpret data, generate actionable insights, and ask the right questions to support data-driven decision-making and drive meaningful business impact.

Key Responsibilities

• Define business problems and analytical objectives by translating business needs into clear questions, objectives, and success metrics.
• Assess data feasibility and requirements, including data sources, limitations, and the appropriate analytical approach and end product.
• Prepare, validate, and analyze data by developing data models/marts, performing data testing, and identifying meaningful patterns and insights.
• Develop dashboards, visualizations, and reports that effectively communicate findings and answer key business questions.
• Deliver actionable insights and recommendations through clear data storytelling tailored to technical and non-technical stakeholders.
• Partner with cross-functional teams to ensure data solutions are feasible, relevant, aligned with business priorities, and continuously improved through feedback loops.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or other relevant quantitative/science disciplines.
• 1–2 years of experience as a Data Analyst or in a relevant analytical role. Fresh graduates are welcome, provided they demonstrate the required analytical skill set.
• Strong analytical and problem-solving skills, with the ability to translate business questions into data-driven solutions.
• Strong mathematical and quantitative skills to support data collection, measurement, analysis, and interpretation.
• Proficiency in SQL.
• Familiarity with programming languages such as Python or R is preferred.
• Proficiency in Business Intelligence and data visualization tools, such as Tableau, Looker Studio/Data Studio, Metabase, or equivalent.
• Ability to develop clear, insightful, and visually compelling reports and presentations.
• Familiarity with statistical methods and concepts is a plus.
• Strong verbal and written communication skills.
• Good command of Bahasa Indonesia and English, both written and spoken.