Senior Business Intelligence Specialist

1 week ago

Hagonoy, Central Luzon, Philippines beBeeDataAnalyst Full time $60,000 - $80,000

Data Analyst Role Overview

The company is seeking an experienced Data Analyst to join its team. As a Data Analyst, you will play a key role in supporting the business through data-driven insights and decision-making.

Key Responsibilities:

  • Forecasting and Predictive Modeling: Develop and implement advanced statistical 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.
  • Cross-Functional 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.

Qualifications and Skills:

  • Educational Background: Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience
    • Minimum of 5 years of experience as a Data Analyst, preferably in an e-commerce or Amazon-focused company.
    • Proven experience in developing and deploying machine learning models for forecasting and predictive analysis.
  • Technical Skills
    • Proficiency in data analysis and machine learning tools such as Python, R, SQL, and frameworks like TensorFlow or PyTorch.
    • Experience with data visualization tools such as Power BI, Tableau, or Google Data Studio.
    • Strong background in statistical analysis and modeling techniques.
  • Analytical and Communication Skills: Exceptional analytical and problem-solving skills with the ability to interpret complex data sets and provide actionable insights, and excellent written and verbal communication skills with the ability to present data findings clearly and concisely to stakeholders.

Benefits

  • Vacation Leave: 10 days per year
  • Paid Holidays: 4 mandatory paid holidays per year
  • Sick Leave/Emergency Leave: 6 days per year
  • Flex Holidays: 2 days per year
  • Software/Hardware Subsidy: $100 annually
  • Health Benefit Subsidy: $450 annually

Total Paid Days Off Per Year

22 paid days off per year

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