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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Analyst

SM Supermalls
Pasay City, Metro Manila
Estimasi Gaji
PHP 35.000 – PHP 70.000
Live Update
19 Juni 2026
Batas Akhir
19 Jun 2027

Deskripsi Pekerjaan

Are you a passionate data storyteller looking to make a significant impact at the heart of the Philippines' retail industry? SM Supermalls is seeking a highly analytical and detail-oriented Data Analyst to join our growing team in Pasay City. In this role, you will be the bridge between complex datasets and strategic business execution.

You will play a pivotal role in enabling our business stakeholders to make informed, data-driven decisions. By transforming raw information into streams of actionable insights, you will help optimize mall operations, enhance customer experiences, and drive growth across our nationwide network. If you thrive in a fast-paced environment and have a knack for uncovering trends that move the needle, we want to hear from you.

Tanggung Jawab

  • Develop and maintain automated dashboards and reports to track key performance indicators (KPIs) across mall operations.
  • Perform deep-dive analysis on business data to identify trends, opportunities, and areas for operational improvement.
  • Collaborate with cross-functional departments to understand their data requirements and deliver meaningful insights.
  • Clean, validate, and structure large datasets to ensure high data integrity for all reporting streams.
  • Present complex findings and data-driven recommendations to management through clear and compelling visualizations.
  • Support the design and implementation of data models that facilitate long-term business strategy.
  • Monitor data quality and troubleshoot discrepancies to ensure the accuracy of all decision-support tools.

Kualifikasi

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Minimum of 2-3 years of professional experience in data analysis, business intelligence, or a similar capacity.
  • Proficiency in SQL and advanced data visualization tools such as Tableau, Power BI, or Looker.
  • Strong technical skills in Excel (VBA/Macros) and experience with Python or R for data manipulation.
  • Demonstrated ability to translate technical findings into business language for non-technical stakeholders.
  • Excellent critical thinking skills with an obsessive attention to detail.
  • Ability to work effectively in a high-pressure, fast-paced retail environment.

Keahlian yang Dibutuhkan

SQL Tableau Power BI Data Visualization Business Intelligence Python Data Modeling Statistical Analysis Strategic Planning

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