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EXP: 3+ YRS
Experience of working in areas of retail like Inventory Management, Location/Space
optimization, Assortment Planning, pricing, shelf placements.
Expertise in programming language such as Python, SQL is a must and Pyspark good to have.
Expertise in predictive analytics techniques around Optimization, classification or regression,
clustering, A/B testing, Time Series, demand forecasting, Tree-based algorithms and model
assembling techniques.
Expertise in visualization tools such as Power BI, QlikView, Tableau, etc.
Must have retail experience
Experience in working in cloud platform like Azure.
Should have basic idea of working on product application.
Excellent verbal and written presentation skills
Attention to detail and ability to work in high pressure environment.
Strong drive and passion to deliver business impact through retail Analytics.
Strong business acumen and ability to translate data insights into meaningful business
recommendations.
Job ID: 153718459
Skills:
Power Bi, Ssas, Ssrs, Google Tag Manager, Google Analytics, SSIS, Dax, Power Query, Python, Microsoft BI Stack, Advanced SQL T-SQL
Skills:
Agile Scrum, Requirements Gathering, Jira, Azure, AI Agent Creation, Prompt Creation, Stakeholder Management, Business Analysis
Skills:
docusign , Devops, Servicenow, Xml, Azure, Functional Design Documents, Microsoft Office Suite
Skills:
Excel, Sql
Skills:
Quicksight, Power Bi, Bi Tools, Amazon S3, SAS, Spss, Tableau, Excel, Python, Sql