Job description

Experience Required for This RoleAnalyzing user data and metrics to drive specific business goalsUsing data to isolate problems and develop solutionsUtilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysisProviding insights and recommendations based on dataBridging the data divide between technical, product, and customer-facing teamsDeveloping and applying data models to improve the collection and analysis of dataCrafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboardsEngaging in data experiments that provide cross-persona or enterprise-level analysisData cleansing, optimizing, and ETLDeveloping and analyzing user surveysOrganizing and storing data and queries for easy access in future work projectsDocumenting data collection and analysis proceduresPreparing and executing ROI analysisTechnical ExpertiseManaging 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 practicesAdministering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)Using business intelligence tools like Tableau or Power BIData collection from on-prem and cloud platforms like Microsoft, Azure, and SalesforceLeveraging statistical analysis and algebraLeveraging economics, business/systems analysis, and quality assuranceManipulating large, complex data setsDocumenting data processes and configurations

Requirements