- Collect, process, and analyze large datasets to identify trends, patterns, and insights.

- Develop and maintain dashboards and reports to track key performance indicators (KPIs).

- Use statistical methods to analyze data and generate useful business reports.

- Collaborate with internal teams to understand data needs and provide data-driven solutions.

- Write and optimize SQL queries to extract data from databases.

- Utilize Python for data manipulation, analysis, and visualization.

- Present findings and recommendations to stakeholders in a clear and concise manner.

- Ensure data accuracy and integrity in all analytical outputs.

- Stay up-to-date with industry trends and best practices in data analysis and visualization

Requirements :

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

- Minimum of 2 years of experience in a data analyst role with a focus on Python.

- Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn).

- Experience with SQL and relational databases.

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

- Excellent communication and presentation skills.

- Ability to work independently and collaboratively within a team.

- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

- Knowledge of machine learning and statistical modeling techniques is a plus