We are seeking a Senior Analyst experienced in analyzing digital, product and customer data. They should be comfortable building data pipelines and BI tools that make data analysis possible. You'll play a key role in ensuring our data is accurate, accessible, and actionable, driving data-driven decisions across digital, marketing and operations. This role will p rovide departmental reporting, insights and recommendations to effectively support strategic eCommerce B2B and B2C initiatives. The focus for this role will be to e xplore, develop and implement predictive and forecasting models to improve profitability and customer service across all our brands. The expectation is the Sr. Analyst will l everage multiple data sources to deliver cohesive insights to stakeholders on category and channel trends through deep dives that uncover high impact opportunities. Bachelor's degree in computer science, statistics or similar, Master's degree plus Minimum of 3 years of analytical experience High business acumen and a strong understanding of e-commerce and web analytics Experience with cloud tools like GCP/Azure Strong communication skills and excellent interpersonal skills Presentation of findings, including recommendations to key stakeholders Work well with multiple levels in the organization Strong analytic and quantitative reasoning and enjoy problem solving with relative autonomy Develop statistical models such as linear regression, time series forecasting and decision trees to forecast sales and gross margins. Responsible for working cross-functionally with Digital Product Owners, IT, Offshore Contractors, Merchandising, Marketing (B2B and B2C), Finance, Pricing and other functional areas to achieve common objectives and help drive eCommerce opportunities. Generate actionable insights from data and effectively communicate recommendations to drive sales, Traffic and EBIT. Create interactive self-service graphical dashboards for monitoring critical KPIs using Looker, Power BI, Tableau, or other visualization tools. Propose KPI metrics to monitor and understand retail and commercial business. Write complex SQL queries for collecting and integrating data from various database sources (Oracle, DB2, Postgres, Adobe Analytics and flat files) to fulfill ad hoc analytic needs. Design and develop ETL strategy to create DataMart and integrate data from different sources. Analyze and validate data between the source and target systems for different channels of business - E-commerce, B2B, B2C by data transformations and data cleansing.