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About the Job: As a Senior Data Analyst - Finance Department, you will play a key role in enhancing operational efficiency through advanced analytics and machine learning techniques.
Key Responsibilities:
- Develop and implement predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection.
- Create data visualizations and reporting systems using statistical process control and data visualization libraries.
- Analyze data to generate insights using statistical analysis, hypothesis testing, and machine learning techniques.
Requirements:
- Bachelor's/MSc in Marketing Analytics, Computer Science, Statistics, or a related field.
- 5+ years of experience in customer analytics or data science.
- Proficiency in Python, SQL, and data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Experience with MLOps and Git.
About Our Team: You will work collaboratively with cross-functional teams to drive data-driven decision-making and operational efficiency.