Create, modify, and troubleshoot SSIS packages, Stored Procedures, SQL Queries, Automation Processes and SQL Jobs with an eye on performance. Convert, manipulate and prepare large volumes of data for ingestion into the systems using SQL Server integration tools. Create, modify and troubleshoot reporting queries in SQL Server 2019 Maintain and support data ingestion tools and automation scripts. Manage and resolve data related issues that are reported by customers and internal and external Conduct quality and business logic checks on all data into and out of systems Maintain high customer satisfaction with customer service, technical and consultative skills, and acquired knowledge of the work product. Requirements 3+ years database and application development experience Proven SQL Language Experience with highly performing SQL Experience developing and troubleshooting SSIS packages Experience developing reports and dashboards using tools like Sisense, SSRS Experience with MS SQL Server Knowledge of Data Modeling concepts Experience with one or more scripting languages (e.g., Python, PowerShell, etc.) Benefits Competitive salary and performance-based bonuses Comprehensive insurance plans Collaborative and supportive work environment Chance to learn and grow with a talented team A positive and fun work environment. Show more Show less

Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches. Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers. Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis. Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness. Translate complex data insights into understandable and actionable information for non-technical and business teams. Requirements Proven experience as a Data Scientist or similar role. Strong knowledge of data analysis, statistics, and machine learning. Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc. Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics Familiarity with: Supervised and unsupervised learning techniques Deep learning and reinforcement learning Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics Expertise in visualization tools such as Power BI, Spot fire, or similar. Excellent storytelling skills to explain complex data to non-technical/business teams Experience in analytics, preferably within Retail, CPG, or E-commerce domains. Excellent communication and collaboration skills with the ability to work effectively in a team environment. Benefits Competitive salary and performance-based bonuses. Comprehensive insurance plans. Collaborative and supportive work environment. Chance to learn and grow with a talented team. A positive and fun work environment.