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Dear Partners, SAP Global INC. is a highly recognized provider of professional IT Consulting services in the US. Here is our open requirement which can be filled immediately. Kindly respond to this requirement with your consultant resume, contact and current location info to speed up the interview process. Job Title: Senior Data Analyst Location:- Onsite Day one, San Bruno, CA Duration:- Long Term contract (W2 only) Job Description: Responsibilities:- Working with leadership/business partners to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues, identifying functional analytics and research objectives and developing tactical research plans. Managing the creation of and presenting actionable recommendations to Senior leadership to contribute to business results. Serving as a subject matter expert to business insights; Ensuring business needs are being met. Understanding Data warehousing and BI Architecture for dynamic and real-time updates of dashboards Managing the development and application of advanced analytics to address unique business and technical problems and supporting data-driven decision making. Delivering ongoing and accurate reporting of KPIs for Daily / Weekly Business Review reporting Collaborating with Advanced Analytics Experts to develop new data analysis techniques. Working with BI and Site Analytics team members to assist them in accessing and leveraging key data sets. Defining SLA and acceptable time lags by data source, defining QA process, and socializing resolution process to ensure data accuracy and consistency. Driving the execution of multiple business plans and projects Leading and participating in medium- to large-scale, complex, cross-functional projects. Preferred Qualifications BA/BS Degree in Computer Science, Business Analytics, any Engineering discipline, and 10+ years of experience in relevant Data engineering and Business Intelligence platforms or masters degree in computer science, Business Analytics, any Engineering discipline, Business Administration, and 8+ years in relevant Data engineering and Business Intelligence platforms experience. Experience with Relational SQL and NoSQL databases, GBQ and Spark SQL Advanced SQL & experience with working on large multidimensional data sets, unstructured data. Experience in Tableau, Power BI and Looker are required.