Analyze large datasets using tools like Hadoop, Spark, and SQL to identify trends and insights relevant to business decisions.

Develop and implement data collection systems and strategies to optimize statistical efficiency and data quality.

Create data visualizations and reports using tools like Tableau or Power BI to communicate findings to stakeholders.

Design and maintain data architecture, including databases and data pipelines, ensuring scalability and reliability.

Perform data cleaning and preprocessing to ensure data accuracy and consistency for analysis.

Collaborate with cross-functional teams to understand business needs and translate them into data analysis requirements.

Develop and maintain documentation for data processes, models, and analyses to ensure knowledge sharing and reproducibility.

Monitor data quality and identify areas for improvement, implementing solutions to enhance data integrity.

Stay updated with the latest trends and technologies in big data and analytics to continuously improve skills and knowledge.

Assist in the development of machine learning models for predictive analytics and data-driven decision-making.

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

Develop and implement statistical models to predict future outcomes and support strategic planning.

Utilize big data technologies like Hadoop and Spark to process and manage large datasets efficiently.

Create compelling data visualizations using tools like Tableau or Power BI to communicate findings.

Design, implement, and maintain databases to ensure data integrity and accessibility for analysis.

Apply machine learning algorithms to build predictive models and improve data-driven decision-making.

Develop and manage ETL (Extract, Transform, Load) processes to integrate data from various sources.

Implement data quality checks and validation procedures to ensure accuracy and reliability.

Prepare detailed reports and documentation to communicate data analysis results and methodologies.

Work with cross-functional teams to understand business needs and provide data-driven solutions.

Conduct trend analysis to identify emerging patterns and opportunities for business growth.