Description

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

Education

Any Gradute