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Data / Business Analyst Executive

Data / Business Analyst Executive

GokardzShah Alam, Selangor, Malaysia
30+ days ago
Job description

Position : Data / Business Analyst Executive

Salary Range : RM 4,000 – RM 6,500

Note : not to exclude any candidates solely based on salary expectations. If a candidate requests a higher package, we are open to reviewing their profile against current market benchmarks and may consider them for this or future roles.

Working Hours : 9 : 00 AM – 6 : 00 PM

Experience : Minimum 3 years in a BPO environment

Join Date : Immediate – by 26 May 2025

Assessment : Yes (Details will be shared after the interview session)

Key Responsibilities :

  • Develop reports and dashboards based on historical and forecasted data.
  • Extract data from primary and secondary sources using automated tools.
  • Clean and correct data, addressing errors and inconsistencies.
  • Maintain and reorganize databases and systems to ensure readability and efficiency.
  • Analyze and assess data quality and interpret its meaning.
  • Review reports and performance indicators to identify and resolve code issues.
  • Use statistical tools to analyze complex data sets and extract trends and patterns.
  • Assign numerical values to critical business functions for performance assessment over time.
  • Analyze local and global trends affecting the organization and industry.
  • Prepare trend and forecast reports for management and stakeholders.
  • Collaborate with department heads to identify improvement areas and recommend system modifications.
  • Support data governance strategies and process improvement initiatives.
  • Deliver final analysis reports to stakeholders to support data-driven decision-making.
  • Perform additional duties as assigned.

Job Requirements :

  • Minimum 3 years of experience in reporting, data analysis, data science, or related fields.
  • Strong proficiency in Business English, both written and verbal.
  • Excellent analytical and mathematical skills with experience working on unstructured data sets.
  • Familiarity with contact center operations and KPIs.
  • Advanced skills in SQL, Python, and Power BI.
  • Experience building and managing forecasting models.
  • Strong time management and deadline-oriented mindset.
  • Proficient in Microsoft Excel (including formulas, VBA / Macros) and PowerPoint.
  • Knowledge of data structures, metadata, dependencies, and data transformation processes.
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