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Collect and clean large sets of data from various sources Analyze data using statistical and machine learning techniques Interpret data and provide insights and recommendations based on findings Develop reports and dashboards to present data insights to stakeholders Collaborate with other teams to understand business requirements and identify data needs Monitor and evaluate data quality, accuracy and completeness Stay up-to-date with industry trends and new data analysis techniques
Collect and clean large sets of data from various sources, including databases, APIs, and third-party sources
Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights
Interpret data and provide actionable recommendations to stakeholders based on findings
Develop reports and dashboards to present data insights to stakeholders, using tools such as Excel, Tableau or Power BI
Collaborate with other teams to understand business requirements and identify data needs
Monitor and evaluate data quality, accuracy and completeness, and take corrective actions as needed
Stay up-to-date with industry trends and new data analysis techniques, and recommend new tools and methods to improve data analysis processes
Work with data engineers and developers to design and implement data pipelines, data models and analytics systems
Communicate data insights to stakeholders, including executives, managers, and front-line employees
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