Senior Data Analyst

2 weeks ago

Imus, Calabarzon, Philippines beBeeData Full time $80,000 - $100,000
Unlock Career Advancement in Data Science

As a seasoned data scientist, you will spearhead all aspects of data analysis and scientific modeling. Your primary focus will be on forecasting business performance over multiple years, considering both internal trends and external global factors.

  • Predictive Modeling and Forecasting: Develop and implement advanced machine learning models to forecast sales, profitability, and inventory needs.
  • Data Analysis: Analyze internal data from various sources, 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 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, and incorporate these factors into forecasting models.
  • Collaboration: Work closely with cross-functional teams to provide data-driven insights and recommendations.

Requirements:

  • 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 industry-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.
  • Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.

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