Role Summary:
We are looking for a highly motivated and skilled Data Analyst with strong expertise in Python SQL and applied Data Science. The candidate should have experience working on machine learning models forecasting techniques and data-driven prediction projects. This is a hands-on role involving both development and collaboration with business stakeholders to deliver analytical solutions.
Key Responsibilities:
- Analyze large datasets using SQL and Python to derive actionable insights.
- Develop and deploy machine learning models for forecasting and predictive analytics.
- Work on structured and unstructured data to identify patterns and trends.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Create dashboards reports and visualizations to communicate findings.
- Ensure data accuracy consistency and integrity throughout the analysis process.
- Leverage cloud platforms such as Azure (preferred) for data handling and model deployment.
Required Skills:
- Strong proficiency in Python for data manipulation and model development.
- Advanced SQL skills for querying complex data structures.
- Solid understanding of machine learning algorithms time series forecasting and predictive modeling.
- Good problem-solving ability and a strong analytical mindset.
Good to Have:
- Exposure to Azure cloud services such as Azure Data Factory Azure ML or Azure Blob Storage.
- Familiarity with Power BI Tableau or similar BI tools.
Required Experience:
Manager