AI-Driven Data Analyst: Power BI & Automation

Ms. Read (M) Sdn Bhd

Kuala Lumpur

On-site

MYR 78,000 - 123,000

Full time

48 hours ago
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Benefits offered by this job

EPF SOCSO EIS benefits
Annual leave & medical leave
Medical & hospitalisation insurance
Dental benefits

Job summary

Ms. Read (M) Sdn Bhd seeks a Data Analyst with AI automation knowledge to bridge raw data with executive decision making.

You will develop and maintain Power BI dashboards, manage the Google BigQuery data lake, and build automated AI-assisted data workflows for streamlined business reporting. Responsibilities include maintaining data pipelines, implementing AI-driven summaries and anomaly alerts, and ensuring data quality across source systems while collaborating with stakeholders and

Qualifications

  • Bachelor's or master's degree in Data Science, Statistics, Computer Science, or a related field.
  • 1–3 years of hands-on experience in business intelligence, data analysis, dashboard development, and process automation (preferred).

Responsibilities

  • Build, deploy and maintain interactive Power BI dashboards for Retail, E-commerce, Merchandising, and Finance.
  • Monitor and troubleshoot SQL queries and ETL flows within Google BigQuery linked to retail platforms.
  • Design, build and optimize automated data workflows using Make.com, n8n, Python, or Power Automate.
  • Audit daily data refreshes, identify pipeline failures, and reconcile report discrepancies.
  • Collaborate with internal departments to translate requirements into visual metrics and maintain data dictionaries.

Skills

Power BI
SQL
Workflow automation
Generative AI

Education

Bachelor's or master's degree in Data Science, Statistics, Computer Science

Tools

Google BigQuery
Power Automate
n8n
Make.com
Python

Job description

Ms. Read (M) Sdn Bhd seeks a Data Analyst with AI automation knowledge to bridge raw data with executive decision making.

You will develop and maintain Power BI dashboards, manage the Google BigQuery data lake, and build automated AI-assisted data workflows for streamlined business reporting. Responsibilities include maintaining data pipelines, implementing AI-driven summaries and anomaly alerts, and ensuring data quality across source systems while collaborating with stakeholders and

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