Senior Data Analyst

7 days ago

Rizal, Philippines beBeeData Full time $91,297 - $114,489
Job Summary:

We are seeking a highly skilled Data Analyst to join our team and contribute to the success of our business. As a key member of our data-driven organization, you will be responsible for handling all aspects of data analysis and scientific modeling.

Main Responsibilities:
  • Predictive Modeling: 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.
  • 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.

The ideal candidate will possess exceptional analytical and problem-solving skills, with a strong background in statistical analysis and modeling techniques. Experience in apparel industry, Amazon expertise, global trend analysis, and risk management would be an added advantage.

Qualifications:
  • 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 Scientist, preferably in an e-commerce or Amazon-focused company.
  • 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.
  • Analytical Skills: Exceptional analytical and problem-solving skills with the ability to interpret complex data sets and provide actionable insights.
  • Communication Skills: Excellent written and verbal communication skills with the ability to present data findings clearly and concisely to stakeholders.
Benefits:
  • Total of 22 Paid Days Off Per Year
  • $100 Software/Hardware Subsidy annually
  • $450 Health Benefit Subsidy

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