Global Data Analytics & Automation Analyst

Skechers USA Ltd.

Manhattan Beach (CA)

On-site

USD 72,000 - 75,000

Full time

14 days+

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Job summary

Skechers USA Ltd. in Manhattan Beach, CA is seeking a Data Analyst to support the International Merchandising team by building automated reporting pipelines and ensuring data accuracy across markets.

You will collect data from distributors, clean and validate data, and develop scalable solutions with Python, Power BI, and Excel to drive data-driven decisions for joint ventures and distributor channels. The role emphasizes collaboration with regional teams, data governance, and continuous

Qualifications

  • Bachelor’s in analytics, data science or statistics.
  • Experience with Excel and Power BI through projects or internships.
  • International data experience across currencies, formats and time zones.
  • Proven ability to identify manual processes and implement automation.
  • Experience coordinating with diverse stakeholders and driving adoption.
  • Experience handling large datasets and building data systems.

Responsibilities

  • Distributor data collection and verification across distributors to ensure data accuracy.
  • Clean and validate raw data from international markets, identifying duplicates and errors.
  • Develop automated data cleaning, transformation, and reporting pipelines to improve efficiency.
  • Monitor and maintain data processes; troubleshoot automation issues.
  • Collaborate with Data & Analytics and regional teams to meet stakeholder requirements.

Skills

Python
Power BI
Excel
ETL
Data viz
Data governance
Analytical thinking
Team collaboration

Education

Bachelor’s in analytics/data science/statistics

Tools

Power Pivot
SQL

Job description

Skechers USA Ltd. in Manhattan Beach, CA is seeking a Data Analyst to support the International Merchandising team by building automated reporting pipelines and ensuring data accuracy across markets.

You will collect data from distributors, clean and validate data, and develop scalable solutions with Python, Power BI, and Excel to drive data-driven decisions for joint ventures and distributor channels. The role emphasizes collaboration with regional teams, data governance, and continuous

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