Warehouse Analytics & BI Specialist - Flexible Arrangements

SPX PHILIPPINES INC.

Manila

On-site

PHP 300,000 - 540,000

Full time

6 days ago
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Job summary

SPX PHILIPPINES INC. is seeking a data analyst to support Shopee PH operations, focusing on ad hoc analyses, reporting, and insights generation. The role involves collaborating with multiple departments to gather requirements and improve data-driven decision making.

Responsibilities include developing new reports, standardizing metrics, and exploring automation opportunities while maintaining SLAs with third-party providers. Flexibility during peak seasons is expected.

Qualifications

  • Bachelor’s degree as required.
  • Minimum 1 year of relevant data analysis experience.
  • Advanced Excel and SQL skills; Python is a plus.
  • Detail-oriented with proven project management skills.
  • Open to flexible arrangements during campaign/peak seasons.

Responsibilities

  • Develop ad hoc analyses or reports and communicate insights to business teams.
  • Capture requirements through interviews with other departments and collaborate on reporting projects.
  • Provide support to BI reporting infrastructure and help users access information.
  • Develop new and update existing reports.
  • Drive standardization of data metrics using data and business process knowledge.
  • Liaise between Shopee PH and BI engineers to define requirements.
  • Identify opportunities for automation using various technologies.
  • Learn and develop processes to improve reporting tools and systems.
  • Manage SLAs with third-party providers.

Skills

Advanced Microsoft Excel
SQL
Python

Education

Bachelor’s degree in Business Administration, Economics, Finance, Computer Science, Information Technology, or related quantitative field

Job description

SPX PHILIPPINES INC. is seeking a data analyst to support Shopee PH operations, focusing on ad hoc analyses, reporting, and insights generation. The role involves collaborating with multiple departments to gather requirements and improve data-driven decision making.

Responsibilities include developing new reports, standardizing metrics, and exploring automation opportunities while maintaining SLAs with third-party providers. Flexibility during peak seasons is expected.

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