Job DescriptionExperience with Business Intelligence and reporting tools (e.g., SQL, SAS, MicroStrategy, R, Python, etc.).Knowledge of using visualization tools like MSTR, Power BI. Experience with Microsoft Office tools (e.g., Word, PowerPoint, Excel)0-1 year experience in Retail category analytics working directly with merchants.0-1 year experience in Retail analytics with a strong understanding of customer data.Demonstrated experience working cross-functionally with multiple stakeholders across locationsEducation RequirementMasters Degree in Statistics, Analytics, Marketing, Economics, Math or Business with 3 years experience in analytical roleResponsibilitiesAnalyze large, complex data sets using R, Python, and SQL to derive insights and identify trendsWork closely with stakeholders to understand business requirements and provide data-driven solutionsDevelop and implement statistical models to forecast business performance and identify opportunities for growthDesign and implement experiments to test hypotheses and evaluate the effectiveness of interventionsCreate data visualizations and dashboards to effectively communicate insights and recommendations to stakeholders. Collaborate with cross-functional teams to identify and implement process improvements Stay up-to-date with the latest data analysis tools and techniques to continuously improve the effectiveness and efficiency of analysisKey SkillsPower BiSqlRetailData AnalystSkills: data,analytics,retail,sql,power bi,python,r,customer,data access