Senior Data Analyst
3 months ago
**Company Overview**:
IXIR PLUS is a leading provider of Herbal Supplements, dedicated to improving the health and well-being of our customers. We are committed to providing high-quality products and exceptional customer service.
**Job Description**:
**Key Responsibilities**:
- Build data warehouses and cooperate with the AI team to develop RAGs (Retrieval-Augmented Generation) for knowledge base management and updates
- Conduct qualitative research and analysis using customer feedback, call transcriptions, and sentiment analysis results, connecting evidence to facts before synthesis and insight generation
- Build models to automate task management and assist in orchestration, using data analysis to eliminate repetitive tasks
- Build, enhance, and aggregate performance KPIs and progress metrics to streamline data connections and save time
- Automate the status fulfillment process and connect automated status collection to the North Star Metric Framework and OKRs System
- Perform complex data analysis and interpret results to drive business decisions
- Design and implement data collection systems and other strategies
- Create and maintain dashboards, reports, and visualizations
- Collaborate with cross-functional teams to identify and solve business problems
- Mentor junior analysts and contribute to team's best practices
- Write and implement machine learning models to solve problems and learn from user interactions to boost results.
**Requirements**:
- Master's degree in Data Science, Statistics, or related field (preferred)
- 5+ years of experience in a data analyst role
- Strong background in statistics and statistical analysis
- Proficiency in programming languages such as Python, R, or SQL
- Experience with ETL processes and tools
- Expertise in data visualization tools
- Excellent problem-solving and communication skills
**Technical Skills**:
- R and RStudio
- Tableau
- Visualization libraries (e.g., ggplot2, Plotly, Seaborn)
- Advanced statistical and machine learning modules (e.g., tidymodels, caret, scikit-learn)
- SQL and database management
- Data warehousing technologies
- ETL tools and processes
- Automation and workflow orchestration tools
- Natural Language Processing (NLP) for sentiment analysis
- Version control systems (e.g., Git)
- Machine learning frameworks (e.g., TensorFlow, PyTorch)
**The new responsibility focuses on writing and implementing machine learning models to solve problems and improve results through learning from user interactions.**
**Benefits**:
- Career Training
- Company laptop
- Home Office
- Remote work
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