Senior Data Analysis

Objectives:
· Power our data pool to deliver insightful picture on daily basic
· Research and devise innovative statistical models for data analysis
· Enable smarter business processes by using analytics for meaningful insights
· Building and training machine learning models using algorithms like regression, classification, clustering, and time series analysis to make predictions
Responsibilites:
· Process data strategies to identify and integrate new datasets that can be leveraged through our product capabilities
· Execute analytical experiments to help solve problems e-commerce and retails domain
· Effectively presenting complex data insights to both technical and non-technical audiences
· Creating clear and impactful visualizations to communicate insights to stakeholders using tools like Tableau, Power BI, or Looker
· Interpreting results from data analysis and translating them into actionable business recommendations
· Managed large, complex dataset to support urgent data making decisions and ad-hoc requests
· Strong understanding of statistical concepts like hypothesis testing, regression analysis, probability distribution

Graduated University with major IT, Data science, Data Engineer ….
As least 3 years experiences in the same level
Data Analyst Certificate
Data Science Certificate
Experience with T-SQL, Python, PBI, Looker
Advanced experience with ML models
TensorFlow / PyTorch Certificate