Senior, Data Analyst @ Walmart

Job Description

• Define metrics, drive roadmaps, and uncover opportunities to improve our products.
• Have a strong bias towards action, enjoy finding patterns amidst chaos, and have demonstrated success in using analytics to drive business impact.
• Has the technical skills to surface insights quickly, and the interpersonal skills to communicate those insights in a way that persuades action.
• Work with your team to develop new analytic methods
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Partner with product leaders, designers, and engineering managers to improve our products and prioritize projects for impact.
• Represent the product analytics team in key meetings and business reviews with our executive team and founders
• Provide data driven insights and deliver recommendations that address opportunities for product improvements
• Use statistical methods to generate and test hypotheses. This includes: Performing analytical deep-dives to identify problems, opportunities and actions required; Collecting, processing, and cleaning data from disparate sources using SQL, R, Python, or other scripting and statistical tools
• Managing the design, execution, and analysis of A/B tests; driving rigor and testing culture through product teams

• 5-10 years of experience of working in a high growth analytics team.
• Fluency in SQL, as we'll as an understanding of statistical analysis, and common pitfalls of data analysis. Basic understanding of query logic is a MUST.
• Bachelors degree in Statistics, Computer Science, Business Administration or related field. Relevant experience in Product analytics will be a PLUS.
• Excellent written and verbal communication skills for coordinating across teams.
• Strong problem solving skills with an emphasis on product development.
• Led or worked independently on major initiatives.

Option 1: Bachelors degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years experience in data analysis, data science, statistics, or related field. Option 2: Masters degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in data analysis, data science, statistics, or related field

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Keyskills:   Supply chain Computer science Data analysis Product engineering Usage Networking Merchandising Information technology SQL Python