Data Analytics Intern – Turn Data into Revenue Wins

AISensum; Bogor; Presencial; IDR 66.960.000 - 133.920.000; Jornada completa

Descripción de la vacante

AISensum is seeking a fresh graduate or final-year student in Economics, Econometrics, Statistics, Mathematics, or Data Science to join our analytics team. You’ll turn messy transaction, CRM, and kiosk data into actionable models, dashboards, and recommendations that impact revenue, margins, or productivity.

You’ll clean and merge data, write SQL, perform descriptive analytics, build logistic regression models, and present concise management-ready insights to business owners while learning how

Formación

• Degree in Economics, Econometrics, Statistics, Math, or Data Science.
• SQL: basic to intermediate, with window functions preferred.
• Python (Pandas/NumPy) for cleaning and analysis.
• Statistics knowledge: regression, hypothesis testing, distributions.
• Strong business sense and ability to translate numbers into decisions.
• Clear written English and attention to detail.

Responsabilidades

• Clean, merge, and QA multi-source datasets (CRM, POS, kiosks, Excel extracts).
• Write and optimise SQL queries (joins, aggregations, window functions).
• Perform descriptive analytics: cohorts, funnels, RFM/RFMP, conversions.
• Build and validate logistic regression/propensity models and interpret results.
• Produce management-ready charts, slide summaries, and recommendations.
• Support Senior Ops/AI Science in data checks, UAT, deployment monitoring.
• Document data assumptions, edge-cases, and data quality issues.

Conocimientos

SQL

Python

Statistics

Business sense

Clear written English

Educación

Economics / Econometrics / Statistics / Math / Data Science

Herramientas

Tableau

Power BI

Git

Descripción del empleo

AISensum is seeking a fresh graduate or final-year student in Economics, Econometrics, Statistics, Mathematics, or Data Science to join our analytics team. You’ll turn messy transaction, CRM, and kiosk data into actionable models, dashboards, and recommendations that impact revenue, margins, or productivity.

You’ll clean and merge data, write SQL, perform descriptive analytics, build logistic regression models, and present concise management-ready insights to business owners while learning how