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Reporting and Analytics, SCommerce

Job in Manila, Daggett County, Utah, 84046, USA
Listing for: Shopee
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 50000 - 70000 USD Yearly USD 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Location: Manila

Department Business Intelligence and Data Analytics Level Experienced  (Individual Contributor)
Location Manila The  Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle.

Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description:

Develop ad hoc analyses or reports and communicate insights to business teams.

Capture high-level and detailed requirements through interviews with other departments and collaborate on reporting and data-related projects.

Provide support to users Business Intelligence reporting infrastructure and assist users in finding the right information.

Develop new and update existing reports.

Drive the standardization of data metrics by leveraging data- and business process  a liaison between Shopee PH and Business Intelligence technical engineers to ensure proper definition of requirements.

Determine opportunities for automation using different technologies.

Learn and develop new processes to improve reporting tools and systems.

Manage and maintain Service Level Agreements of different third-party companies.

Requirements:

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

With a minimum of one (1) year of relevant work experience

Advanced Microsoft Excel and SQL skills

Excellent communication skills

Knowledge in Python is a plus Detail-oriented and has proven project management skills

Open to flexible arrangements during campaign/peak seasons
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