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Senior Data Analyst

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Private Advertiser Full time 90,000 - 120,000 per year

Key Responsibilities:

  • Develop, maintain, and optimize interactive dashboards and reports using Power BI for various departments (e.g., Marketing, Sales, HR, Ops).
  • Perform data modeling, cleaning, and transformation from multiple sources (Google Sheets, Excel, SQL databases, etc.).
  • Use Python (Pandas, NumPy, etc.) to automate workflows, data analysis, and forecasting models.
  • Provide deep-dive data analysis and trends to support business decisions, campaigns, or operational improvements.
  • Collaborate closely with key stakeholders to define metrics, KPIs, and reporting standards across departments.
  • Ensure data quality, governance, and consistency across platforms.
  • Identify performance gaps, patterns, and optimization opportunities based on internal data.
  • Support the company's transition into data-centric operations, including training or enabling other team members when needed.

Requirements:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Minimum 3–5 years of experience in a data analyst or similar role.
  • Proficient in Power BI and/or Python for analysis and reporting.
  • Strong understanding of data querying (SQL) and relational databases.
  • Experience in building and managing KPI dashboards.
  • Excellent communication skills — able to explain insights to non-technical users.
  • Highly detail-oriented, analytical, and business-driven mindset.

Nice to Have:

  • Experience working in a fast-paced, multi-departmental business environment.
  • Familiarity with data connectors/APIs, Google Workspace, or automation tools (e.g., Power Automate).
  • Prior exposure to business operations, digital marketing, or HR analytics is a plus.