Gather data from various sources, such as websites, databases, and third-party tools.
- Analyze large datasets to identify trends, patterns, and anomalies.
- Develop and maintain data pipelines for efficient data extraction and processing.
Create customized reports and dashboards to present data-driven insights.
- Utilize data visualization tools (e.g., Tableau, Power BI) to make complex data accessible and understandable.
- Collaborate with stakeholders to design and refine reporting templates.
Monitor and track key performance indicators (KPIs) to assess business performance.
- Identify areas for improvement and provide recommendations for optimization.
Design and execute A/B tests and experiments to evaluate the impact of changes or strategies.
- Interpret test results and make data-driven recommendations for improvements.
Ensure data accuracy and integrity by implementing data validation processes.
- Maintain data dictionaries and documentation for data sources.
Perform advanced statistical analysis, predictive modeling, and segmentation to uncover valuable insights.
- Work with machine learning models for predictive analytics when applicable.
Collaborate with cross-functional teams to provide insights that inform strategic decisions.
- Translate complex data findings into actionable recommendations for business growth.
Stay updated on industry trends and best practices in data analytics.
- Conduct competitive analysis and benchmarking.
Ensure compliance with data protection regulations (e.g., GDPR, CCPA) and internal data security policies.
