Insight Architect: Data Analytics & Forecasting

PT Social Bella Indonesia; Jakarta Utara; On-site; IDR 133,920,000 - 267,840,000; Full time

Job summary

Sociolla in Indonesia is seeking a Data Analyst to help the BI team pull, process, and provide insights that answer business questions, bridging technical and non-technical teams.

You will combine business analytics, data mining, and visualizations to support data-driven decisions, forecast trends, and deliver automated reports. The role requires 3+ years in analytics, proficiency in Python or R and SQL, and strong English communication.

Qualifications

• Minimum 3 years of relevant work experience in data analytics, preferably in retail or related sectors.
• Proficient in Python or R and SQL scripting.
• Hands-on experience with large-scale datasets and data integrity.

Responsibilities

• Combine business analytics, data mining, and data visualizations to help organizations make more data-driven decisions.
• Interpret data, patterns, and trends and turn them into actionable insights to improve the business.
• Provide routine and ad hoc reports, ensuring insights are not only descriptive but also predictive and prescriptive where applicable.
• Translate routine data inquiries into automated, efficient reporting solutions to support operations and streamline decision-making.
• Utilize modeling techniques to build forecasting models, trend analyses, and scenario simulations, enhancing the depth of data-driven insights.
• Work with large-scale datasets to conduct exploratory and advanced data analysis, ensuring data integrity and uncovering new opportunities for optimization.

Skills

Python

R

SQL

Data analysis

Data mining

Data visualization

Forecasting

Scenario analysis

English proficiency

Job description

Sociolla in Indonesia is seeking a Data Analyst to help the BI team pull, process, and provide insights that answer business questions, bridging technical and non-technical teams.

You will combine business analytics, data mining, and visualizations to support data-driven decisions, forecast trends, and deliver automated reports. The role requires 3+ years in analytics, proficiency in Python or R and SQL, and strong English communication.