Key Responsibilities:
- Collect, clean, and analyze data from various sources.
- Build and maintain reports and dashboards to track business performance.
- Perform data validation and integrity checks across systems.
- Translate business questions into analytical problems and provide actionable insights.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Support data-driven decision-making processes across departments.
Must-Have Qualifications:
- Advanced skills in Excel and Google Sheets, including formulas such as INDEX, MATCH, IMPORTRANGE, and QUERY.
- Intermediate proficiency in Python, especially in data analysis libraries like Pandas, NumPy, Matplotlib, and Seaborn.
- Basic SQL query skills for working with relational databases.
- Strong logical and critical thinking skills with the ability to solve complex problems efficiently.
- Attention to detail and a proactive attitude toward data quality and accuracy.
- Preferred Qualifications (Nice to Have):
- Experience with BI tools (e.g., Google Data Studio, Power BI, Looker).
- Understanding of statistical analysis or forecasting methods.
- Exposure to cloud-based platforms like Google Cloud Platform or AWS.