Insights-Driven BI Data Analyst for Growth

Monee; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Join Monee in Kuala Lumpur as a BI Analyst to transform data into actionable insights. You will collaborate with multiple departments to understand reporting needs, develop dashboards, and deliver accurate analyses within SLA.

Proficiency in Excel and SQL is required, with Python/R knowledge a plus. You will extract and clean large datasets, visualize findings, and support marketing and sales analytics initiatives.

Qualifications

• Bachelor's degree in a related field.
• 2–3 years of work experience in BI or analytics.
• Proficiency in Excel and SQL for data extraction and analysis is mandatory.
• Knowledge of Python or R for data analytics and modeling is a plus.

Responsibilities

• Work closely with internal stakeholders to understand reporting needs, conduct analysis and share actionable insights to support data‑driven business decisions
• Manage and support data requests from all Monee departments, delivering accurate reports, dashboards, or analysis within SLA timelines
• Develop, maintain, and optimise dashboards and reports using BI tools (e.g., SQL, Tableau, Power BI, Google Data Studio, Google Sheets).
• Extract, clean, and analyze large datasets from various sources to generate insights for the relevant departments
• Support business growth plans through close monitoring and analysis of marketing performance, sales conversion and ad‑hoc projects based on business needs

Skills

Data analysis

Communication

Stakeholder management

Analytical thinking

Data visualization

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, Finance, or a related field

Tools

SQL

Tableau

Power BI

Google Data Studio

Excel

Google Sheets

Job description

Join Monee in Kuala Lumpur as a BI Analyst to transform data into actionable insights. You will collaborate with multiple departments to understand reporting needs, develop dashboards, and deliver accurate analyses within SLA.

Proficiency in Excel and SQL is required, with Python/R knowledge a plus. You will extract and clean large datasets, visualize findings, and support marketing and sales analytics initiatives.