Data Analyst

Ms. Read; Kuala Lumpur; On-site; MYR 78,000 - 123,000; Part time

Benefits offered by this job

EPF/SOCSO/EIS

Annual leave and medical leave

Job summary

Ms. Read, based in Kuala Lumpur, seeks a Data Analyst to bridge raw data with executive decision-making. You will develop, maintain, and enhance Power BI dashboards and oversee the Google BigQuery data lake, while building automated AI-assisted data workflows to streamline business reporting.

The role emphasizes data quality, stakeholder collaboration, and prompt engineering to deliver actionable insights and executive summaries from complex datasets.

Qualifications

• Bachelor’s or master’s in Data Science, Statistics, Computer Science, or related field.
• 1–3 years of hands-on experience in BI, data analysis, dashboard development, and automation (preferred).
• Experience with data lakes, ETL pipelines, and cloud data warehousing is a plus.
• Strong knowledge of Power BI and SQL.

Responsibilities

• Build, deploy, and maintain Power BI dashboards for Retail, E-commerce, Merchandising and Finance.
• Monitor and troubleshoot Google BigQuery data lake environments and data pipelines.
• Design, build, and optimize AI-assisted automated data workflows to streamline reporting.
• Audit daily data refreshes and reconcile report discrepancies across source systems.
• Collaborate with internal departments to translate requirements into visual metrics and maintain data dictionaries.

Skills

Leadership

Problem solving

Proactive mindset

Communication

Education

Bachelor's or Master's in Data Science or related field

Tools

Power BI

SQL

Google BigQuery

Python

Make.com

n8n

Power Automate

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

The Data Analyst with basic AI Automation knowledge will bridge raw data infrastructure with executive decision-making. This role is responsible for developing, maintaining, and enhancing corporate Power BI dashboards, maintaining the Google BigQuery data lake environment, and building automated, AI-assisted data workflows to streamline business reporting across the organization.

Key Responsibilities

Power BI Developmnt & Maintenance

Build, deploy, and maintain interactive Power BI dashboards for Retail, E-commerce, Merchandising, and Finance. Write complex, optimized DAX formulas and build robust data models (.pbix).

Data Lake & Pipeline Maintenance

Monitor and troubleshoot scheduled SQL queries, data ingestion pipelines, and ETL flows within Google BigQuery connected to retail POS, ERP, and Shopify platforms

AI & Automation Workflow Implementation

Design, build, and optimize automated data workflows (using tools like Make.com, n8n, Python, or Power Automate) to automate repetitive daily reporting, alert triggers, and data validation tasks.

Utilize Generative AI and LLM APIs (e.g., OpenAI, Claude, or Copilot) to generate automated data summaries, analyze trend anomalies, and build intelligent alert mechanisms for inventory and sales performance.

Apply prompt engineering to interact with AI tools, automating exploratory data analysis and producing clear executive summaries from raw datasets.

Data Quality & Reconciliation

Audit daily scheduled data refreshes, identify pipeline failures, and reconcile report discrepancies across operational source systems.

Stakeholder Support & Documentation

Collaborate with internal departments to translate business requirements into actionable visual metrics; maintain up-to-date data dictionary, prompt libraries, and automated workflow documentation.

Requirements & Technical Competencies

Degree: A bachelor's or master's degree in Data Science, Statistics, Computer Science, or a related field.

Experience: Minimum 1–3 years of hands‑on experience in business intelligence, data analysis, dashboard development, and process automation (preferred).

Technical Skills

Advanced Microsoft Power BI (Expert in DAX, Power Query/M, Data Modeling, Row‑Level Security, Power BI Service administration).

Strong proficiency in SQL and cloud data warehousing (specifically Google BigQuery).

Hands‑on experience with Workflow Automation tools (e.g., Power Automate, n8n, Make.com, or Python automation scripts).

Practical knowledge of Generative AI integration, prompt engineering, and utilizing AI coding assistance / LLMs for data transformation and automated insights.

Soft Skills

Leadership: Demonstrated ability to lead Projects

Problem-solving: Strong analytical and problem‑solving skills, with a keen attention to detail.

Proactive, self-driven mindset able to work independently in a fast-paced environment.

Additional Responsibilities

Continuous improvement: Stay updated with the latest trends and advancements in data analysis, AI tools and implement best practices within the team.

Training and development: Identify training needs and opportunities for team members to enhance their skills and knowledge.

Compliance: Ensure that all data analysis activities comply with relevant laws, regulations, and organizational policies.

Position Type : CONTRACT (6 MONTHS)

**renewal subject to performance after 6 months / job or business requirement

Working Days : 4 Days (Monday to Thursday only)

Working Hours : 9:00 am – 6:00 pm

Work-Life Balance: 4-day work week.

• Statutory benefits (EPF, SOCSO, EIS).
• Annual leave and medical leave allocations.