Data Analyst - Hybrid

Tasks

• Build analytics solutions
• Clean data
• Collaborate with business stakeholders
• Collect data
• Conduct predictive analytics for forecasting
• Evaluate effectiveness of policies and measures
• Implement prototypes
• Perform exploratory data analysis
• Perform feature engineering
• Run segmentation analysis
• Set parameters tune AI agents
• Solve business problems with analytics and AI
• Use AI agents and analytics tools for reporting
• Validate AI agent effectiveness

Perks/Benefits

• Hybrid work arrangement
• Mostly work from home

Skills/Tech-stack

Data Analysis | Data Processing | Data Visualization | Data cleaning | Deep learning | Exploratory Data Analysis | Feature Engineering | Language Models | Language Processing | Large Language Models | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Natural Language | Natural Language Processing | Predictive Analytics | Python | R | Retail Analytics | SQL | Segmentation Analysis | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting