Collect and analyze data from various sources to identify trends and insights relevant to business decisions.

Develop and maintain databases and data systems, ensuring data integrity and accessibility for analysis.

Create comprehensive reports and visualizations to communicate findings to stakeholders and management.

Collaborate with cross-functional teams to understand data needs and provide analytical support for projects.

Identify opportunities to improve data quality and efficiency through process improvements and automation.

Perform statistical analysis and modeling to forecast trends and support strategic planning initiatives.

Monitor data trends and anomalies, proactively identifying potential issues and recommending solutions.

Develop and implement data governance policies and procedures to ensure compliance and data security.

Provide training and support to end-users on data analysis tools and techniques.

Stay updated with industry trends and emerging technologies in data analysis and business intelligence.

Analyze complex datasets to identify trends, patterns, and insights relevant to business decisions.

Collaborate with stakeholders to gather, document, and prioritize business and data requirements.

Create comprehensive reports and dashboards to communicate findings and recommendations to stakeholders.

Develop and maintain data models to ensure data integrity and support analytical needs.

Apply statistical techniques to analyze data, validate hypotheses, and identify significant relationships.

Identify opportunities to improve data-related processes and workflows, enhancing efficiency and accuracy.

Implement and monitor data quality metrics to ensure data accuracy, completeness, and consistency.

Manage and maintain databases, ensuring data security, availability, and performance.

Develop predictive models to forecast future trends and outcomes, supporting strategic decision-making.

Create compelling data visualizations to communicate complex information in an easily understandable format.

Conduct trend analysis to identify emerging patterns and opportunities in the data landscape.

Use data mining techniques to discover hidden patterns and insights from large datasets.