Data Analyst
Summary
Data analyst who mines large datasets for trends and insights, builds reports and dashboards for business teams, and develops basic forecasting/statistical models to support data-driven decisions. Core stack: Python, SQL, Excel, with Tableau/Metabase and Pandas/NumPy/scikit-learn.
Responsibilities
- Analyze data to find trends and useful insights.
- Create reports and dashboards for business teams.
- Collect data and check its accuracy.
- Identify patterns in large datasets.
- Build basic forecasting and statistical models.
- Help teams make data-driven decisions.
- Suggest ways to improve business processes.
Requirements
- Knowledge of Python, SQL, and Excel.
- Familiarity with Tableau, Metabase, or similar tools.
- Understanding of statistics and data analysis.
- Basic knowledge of Pandas, NumPy, or scikit-learn.
- Ability to work with large datasets and databases.
- Knowledge of forecasting is an advantage.
