Senior Business Intelligence Professional

2 days ago

Cainta, Calabarzon, Philippines beBeeDataAnalysis Full time ₱1,000,000 - ₱1,500,000

Job Opportunity

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  • Job Description

    We are a dynamic and growing organization specializing in the sales of branded apparel on Amazon. Our diverse product line features 40 base products with nearly 2000 variation choices, reflecting our commitment to delivering top-quality apparel to our customers.

    As a Data Analyst, you will be responsible for all aspects of data analysis and scientific modeling. Your primary focus will be on forecasting business performance over 1, 3, and 5-year horizons, considering both internal trends and external global factors such as economic indicators and potential disruptions.

    • Predictive Modeling and Forecasting:
      • Develop and implement advanced machine learning models to forecast sales, profitability, and inventory needs for 1, 3, and 5-year periods.
  • Data Analysis:
    • Analyze internal data from Amazon API and QuickBooks, as well as external data on global economic trends, market conditions, and consumer behavior.
  • Trend Analysis:
    • Identify and interpret key trends and patterns in sales, seasonality, and customer preferences.
  • Algorithm Development:
    • Create and refine algorithms to optimize pricing strategies, inventory management, and marketing campaigns.
  • Dashboard Creation:
    • Develop and maintain custom dashboards using tools such as Power BI, Tableau, or Google Data Studio to visualize predictive models and key metrics.
  • Reporting:
    • Generate comprehensive reports and present findings to stakeholders to inform strategic decision-making.
  • Risk Analysis:
    • Assess potential risks to production and supply chain, such as fabric shortages, natural disasters, and other disruptions, and incorporate these factors into forecasting models.
  • Collaboration:
    • Work closely with cross-functional teams including marketing, sales, and operations to provide data-driven insights and recommendations.
  • Process Improvement:
    • Continuously seek opportunities to improve data collection processes, analytical methods, and forecasting accuracy.

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