The Data Analyst will help lead innovation through a data-driven, business-oriented mindset in data analytics, including mining, cleansing, and visualization to transform data into goal-oriented reports that drive growth.
Requirements
- 3+ years’ experience developing complex data models & visualizations.
- 3+ years' experience with data transformation tools.
- 3+ years' experience with data visualization tools.
- Experience with AI (Machine Learning, Natural Language Processing, etc.)
- Experience in statistical modeling language (R or Python) and model development
- Experience in statistical software (Excel, SAS, SPSS etc.)
Responsibilities
- Analysis of disparate data sources and creating solutions aligned with business goals.
- Streamline data collection methods to create automated and easy-to-use routines.
- Verify data quality to ensure accurate analysis and reporting.
- Automate manual reporting processes.
- Development of data visualization tools customized to product and client needs.
- Collect, organize, and clean data from various sources.
- ETL development and understanding of data warehousing concepts.
Other
- The Data Analyst will closely with internal stakeholders to identify analytical demands and the visualization of those demands.
- The Data Analyst will identify opportunities, propose projects, develop solutions, and lead those solutions through modern/agile best practices.
- This position will participate in strategic planning conversations to inform platform goals and priorities, while ensuring compliance within the analytics suite.
- Prepare reports on a scheduled cadence and provide to internal and external stakeholders to utilize for business decisions.
- Collaborate with team members, including engineers to determine areas of improvement in relation to data.
