Experience Required for This Role
- Analyzing user data and metrics to drive specific business goals
- Using data to isolate problems and develop solutions
- Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
- Providing insights and recommendations based on data
- Bridging the data divide between technical, product, and customer-facing teams
- Developing and applying data models to improve the collection and analysis of data
- Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
- Engaging in data experiments that provide cross-persona or enterprise-level analysis
- Data cleansing, optimizing, and ETL
- Developing and analyzing user surveys
- Organizing and storing data and queries for easy access in future work projects
- Documenting data collection and analysis procedures
- Preparing and executing ROI analysis
Technical Expertise
- Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)
- Proficiency in Python or R for data manipulation and analysis.
- Data modeling, data governance, and data quality best practices
- Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
- Using business intelligence tools like Tableau or Power BI
- Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
- Leveraging statistical analysis and algebra
- Leveraging economics, business/systems analysis, and quality assurance
- Manipulating large, complex data sets
- Documenting data processes and configurations