Senior Manager, Data Analytics

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What you'll do...

Position: Senior Manager, Data Analytics

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one’s domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart s brand and learn more about industry practices. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of information into cohesive insights. Present to and influence diverse audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. This position does not supervise other employees.

Minimum education and experience required: Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 2 years of experience in data analysis, data science, statistics, or related field; OR Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 4 years of experience in data analysis, data science, statistics, or related field.

Skills required: Experience designing and analyzing experiments using traditional A/B Testing (Hypothesis and Bayesian) and quasi-experimental methods. Experience architecting and building scalable reporting infrastructures using Tableau, Looker, Sigma, and PowerBI. Experience developing ETL data pipelin