Key Responsibilities
- Gather, clean, validate, and analyze large datasets from multiple sources.
- Develop and maintain dashboards, reports, and visualizations using BI tools.
- Identify trends, patterns, and opportunities through statistical analysis.
- Translate business requirements into data-driven solutions and recommendations.
- Create and automate recurring reports to improve efficiency.
- Perform data quality checks and ensure data accuracy and integrity.
- Collaborate with business teams to understand KPIs and reporting needs.
- Support forecasting, performance tracking, and business planning initiatives.
- Present findings and insights to stakeholders in a clear and concise manner.
- Assist in developing data models and improving reporting processes.
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- 1–5 years of experience in data analysis or a similar role.
- Strong proficiency in SQL for querying and manipulating data.
- Experience with Excel, including advanced formulas, pivot tables, and data analysis.
- Knowledge of data visualization tools such as Tableau, Power BI, or similar platforms.
- Understanding of statistical concepts and analytical techniques.
- Familiarity with Python or R for data analysis is preferred.
- Strong problem-solving, analytical, and communication skills.