Senior, Data Analyst @ Walmart

As the Senior Data Analyst, Product Analytics, Marketplace Analytics Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform. Your focus will be to support the Product team as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers. What you'll do...

• As the Senior Data Analyst, Product Analytics, Marketplace Analytics Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform. Your focus will be to support the Product team as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers.
• You will be responsible for building out a holistic view of performance as we'll as a detailed analytics roadmap across the entire Product Lifecycle by leveraging state of the art analytics tools (ie SQL/Hive/Hadoop/Cloud, Mixpanel, Quantum Metrics, Tableau/ThoughtSpot/Looker, etc).
• Key projects include supporting Product Discovery, providing business impact Sizing, assessing the performance of Product Features, and understanding Seller Behavior through Clickstream Analytics. This role is highly visible since you must work cross functionally with Product, Engineering, Business, and Operations.
• Given the size and scale of Walmart and the advanced capabilities being built by Product for Marketplace this position will have a significant impact.

• Serve as thought leader and trusted advisor to Product leadership and the larger product management team by collaborating with them through the entire product lifecycle from discovery, A/B testing, to post launch insights and learnings.
• Demonstrate proactive, solution-oriented thought leadership -- you are always looking ahead to whats coming next, you solve problems within and outside of your core area, and you are comfortable actively influencing leaders to ensure you drive key decisions and priorities.
• Proactively identify product opportunities within and beyond product ownerships areas through a hypothesis driven culture and data driven deep dives

• Responsible for organizing and assembling the resources, technology, and processes to support the Product Analytics needs of the Marketplace Product teams. Successfully work with cross functional group consisting of Product, Engineering and Business to drive data based decisions.

• Interface with product business stakeholders across geographies to proactively identify opportunities, develop business acumen, cultivate stakeholder relationships develop best in class data analytics solutions. Define the product engagement data capture strategy and collaborate with Engineering to ensure the accuracy of the data.
• Have an strong understanding of various data sources and how to organize and utilize them to deliver critical insights to the broader organization.
• Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making. Extensive hands-on experience with SQL to query from different databases
• Define and monitor KPIs to measure product performance and monitoring product health.
• Create effective reporting and dashboards by applying expertise in data visualization tools such as Mixpanel, Quantum Metric, Looker/Tableau, and Splunk to monitor product performance.
• Design and execute A/B tests, observational inference, predictive analytics to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms such as Desktop, Mobile, etc

• MBA or masters Degree in Mathematics, Engineering, Statistics or a related technical field
• 4-9 years of experience in data analysis or an analytical capacity
• 3+ years of experience in Product Analytics, Digital Analytics, or eCommerce Analytics

• Proficient SQL programming skills with an understanding of database capabilities and experience of integrating, structuring, and analyzing large amounts of data from diverse sources.

• Design A/B tests to test and quantify the impact of new product feature.
• Drive A/B testing as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (eg, Desktop, Mobile, etc).
• 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
• 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.

• Background in Product Analytics, ideally experience with two-sided businesses (Buyer Seller) like a Marketplace (eBay), Rideshare (Uber), other sharing business models
• Experience with A/B and Multivariate test design and implementation and Regression modelling
• Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
• Working knowledge of Digital Product Analytics methodologies. Preference will be given to candidates with experience in both B2B and B2C digital products
• Experience using an enterprise-level product analytics platforms (eg Mixpanel, Quantum Metric, Splunk, etc)
• You have a passion for working in a fast-paced agile environment

Minimum Qualifications... Minimum Qualifications: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.