One of our direct client is urgently looking for a Product Analyst @San Bruno, CATITLE: Senior Analyst - Marketing and CRM AnalyticsLOCATION: San Bruno, CADURATION: 6 to 12+ Months Rate: DOEROLE: As the Senior Analyst/Manager, Marketing Analytics - Customer Relationship Management (CRM) Analytics, you will create and lead the development of world-class analytics to evaluate the effectiveness and efficiency of our Email and Push marketing to drive overall performance for Walmart US. You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging state of the art analytics tools (i.e. SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.). Key projects include Attribution, Experimentation, and Optimization. This role is highly visible since it must work cross functionally along with Category Marketing, Channel Marketing, Product Management, and IT and is charged with identifying areas of opportunity to drive revenue through data-driven best practices. CRM is Given the size and scale of marketing at Walmart this position will have significant impact across the organization. RESPONSIBILITIES:• Lead and develop the strategy for reporting, testing, analyzing, and forecasting business performance across Customer Relationship Management (Email, Direct Mail, Push Notifications) and participate in building out a Customer first target and marketing strategy.• Identify and provide both tactical ad hoc insights and a strategic ongoing roadmap of deep analytics• Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization• Lead Marketing Channel analytics through advanced analytics techniques such as multi-touch attribution, marginal ROAS, experimentation, etc. with the goal of helping the organization understand the best way to drive incremental sales• Participate in customer segmentation analysis, including acquisition and retention, CAC (Customer Acquisition Cost), and LTV (Lifetime Value) measurement• Build tools and lead training to enable Marketers to adopt an analytical mindset for their daily business decisions.• Partner with the Data Engineering & Measurement teams to define data architecture and in-house tool requirements, ensure complete tagging and tracking of assets and campaigns, and to design actionable testing scenarios• Partner with Data Science/Machine Learning Team to develop AI techniques to optimize business performance MINIMUM QUALIFICATIONS:• BA/BS in Business, Marketing, Mathematics, Statistics, or related field (or equivalent experience)• 7+ years of experience in data analysis or an analytical capacity• 3+ years of experience in Marketing Analytics, Customer Analytics, Promotions Analytics, and/or Customer Relationship Management (CRM)• 2+ years of experience leading cross functional teams and influencing Marketing, Finance, Business Operations, and Engineering• Proficient SQL programming skills with an understanding of database capabilities and experience of integrating, structuring, and analyzing large amounts of data from diverse sources• Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions• Experience with statistical concepts and knowledge of Test/Control methodologies• Expert level understanding of Microsoft Office suite especially Excel and PowerPoint• Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes• Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter• You can communicate technical material to a range of audiences and to ‘tell a story’ that provides insight into the business• You embrace tackling complex problems with a high degree of ambiguity.