Data Analyst
CurrentWorking as Data Analyst within Store Checkout, focusing on improving/optimizing Physical tills and App checkout in store. Highlights: • Enable User Tracking: Setting up user tracking on the new POS system in store. Planning and documenting the entire tracking structure. Has never been done on physical H&M POS.• Building & Improving Power BI Dashboard: Responsible for PBI dashboards that focuses on Till usages within H&M Stores. Aims to generate insights that can help optimize Store and till planning/structure. Large amount of data queried with SQL and Splunk SPL. • Maintaining and optimizing Python based A/B test tool for Physical stores: The A/B tool is used to test effect of Self-checkout tills on Conversion rate, Member purchase rate and amount of Queue. • Store Planning & Optimization: Created a Store planning & Optimization data model with Power BI and Dataiku that generate insights regarding Till usage/pressure in Store. Large amount of data and usage of SQL.• Improve App Stability/Usage through data: Creating Tracking/Dashboards within Power BI, Looker Studio and Splunk that have improved our knowledge about customer behavior, App stability and Errors within the user path. Enable team to fix errors quicker and improve UI/UX. Tools: Expert: Google Looker Studio, Power BI, Google Analytics, Google Tag Manager, SEO, Keyword Analysis.Advanced: Dataiku, SQL, BigQuery, Adobe Dashboard, Splunk (SPL), Google Ads, Google Search Console, Google Cloud Platform, DAX Measures, Microsoft SQL Server Management Studio.Intermediate: Google Optimize A/B test, Tableau, Scrum master, Firebase, ExcelBasic: Databricks, Figma.