As a Data Analyst II, you’ll be at the core of data-driven decision-making, transforming user behavior data into actionable insights that shape product development and business strategy. Your role involves researching, collecting, and analyzing data to uncover patterns and trends, ensuring that insights meet the high standards expected by our users. You’ll collaborate closely with other Data Ventures teams to assess and interpret user data, helping guide the direction of our products and enhance the overall user experience. You’ll also play a key role in the Data Enrichment team, working with partners across Walmart Digital Citizenship, Walmart Global Tech, and product teams to promote ethical and responsible data use. Your contributions will support the creation of new data products, improve product efficiency through cost-effective data enrichment, and safeguard data integrity to help customers succeed. If you're passionate about data, thrive on insights, and are ready to make a tangible impact, then we want to hear from you. This role offers a unique opportunity to sit at the intersection of data, technology, and business where your work will directly support our mission to help our customers win. About Data Ventures Data Ventures exists to unlock the full value of Walmart’s data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we’re seeking entrepreneurial individuals to help drive data productization from concept to deployment. You’ll make an impact by… Partnering with business and product stakeholders to solve challenging business problems and identify trends and opportunities Applying your expertise in comparative data analysis, data mining, and the presentation of data to see beyond the numbers and provide actionable insights Demonstrating proficiency in writing SQL queries to extract, manipulate, and analyze large datasets from relational databases, including experience with Hive and Google BigQuery. Demonstrating proficiency in Excel through the mastery of common functions, pivot tables, and data visualization techniques for analysis and reporting. Defining and evaluating key performance metrics for accuracy to customer expectations and Identifying new levers to help improve key financial data insights, understanding root causes for change in metrics Conducting exploratory data analysis including hypothesis testing, statistical inference and statistical analysis Collaborating with data stewards and data engineering team to gather and process the right information from various sources Working effectively cross-functionally and to communicate data and insights to non-tech leadership team Working alongside the Account Management and Business Development teams to drive client retention and adoption
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Job Type
Full-time
Career Level
Mid Level