Develop and implement data collection systems to gather relevant information for analysis.

Clean, transform, and preprocess raw data to ensure data quality and accuracy.

Perform statistical analysis and data mining to identify trends, patterns, and insights.

Create data visualizations and dashboards to communicate findings to stakeholders.

Develop and maintain databases and data systems to store and manage data.

Collaborate with cross-functional teams to understand business needs and data requirements.

Write reports and presentations to summarize data analysis results and recommendations.

Monitor data quality and identify areas for improvement.

Stay up-to-date with the latest data analysis techniques and technologies.

Assist in the development of data-driven solutions to business problems.

Analyze complex datasets to identify trends, patterns, and insights for strategic decision-making.

Develop and implement statistical models to predict future outcomes and assess risk.

Create compelling visualizations to communicate data insights to stakeholders effectively.

Design and manage ETL (Extract, Transform, Load) processes for data warehousing.

Maintain and optimize databases to ensure data integrity and accessibility.

Generate regular and ad-hoc reports to track key performance indicators (KPIs).

Use data mining techniques to discover hidden patterns and valuable information.

Apply predictive analytics to forecast future trends and behaviors.

Ensure data accuracy and consistency through rigorous quality checks.

Design and develop interactive dashboards for real-time data monitoring.

Write and optimize SQL queries to extract and manipulate data.

Perform statistical analysis to validate hypotheses and draw conclusions.