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Manager Ii, Advanced Analytics
Company | Walmart |
Address | San Bruno, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail |
Expires | 2023-08-29 |
Posted at | 9 months ago |
Position Summary...
- Define and monitor KPIs to measure product performance and monitoring product health.
- 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
- 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.
- Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
- Partner with Product Managers and Engineering teams to accurately track and analyze existing and new product initiatives.
- Have an intimate understanding of various data sources and how to organize and utilize them to deliver critical insights to the broader organization.
- Design A/B tests to test and quantify the impact of new product features and drive A/B testing as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, etc.)
- 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.
- Demonstrate proactive, solution-oriented leadership you are always looking ahead to what's coming next, you solve problems within and outside of your core area, and you are comfortable actively influencing leaders to ensure your team drives key decisions and priorities.
- Define the product engagement data capture strategy and collaborate with Engineering to ensure the accuracy of the data.
- 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.
- Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
- You embrace tackling complex problems with a high degree of ambiguity.
- Expert level understanding of Microsoft Office suite especially Excel and PowerPoint
- 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
- 3+ years of experience in Product Analytics, Data Science, 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.
- BA/BS in Business, Engineering, Mathematics, Statistics or related field (or equivalent experience)
- Travel 10-20% of the time mainly to San Bruno/Sunnyvale, CA or Hoboken, NJ or Bentonville, AR
- You can communicate technical material to a range of audiences and to 'tell a story' that provides insight into the business
- Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes
- Experience with statistical concepts and knowledge of Test/Control methodologies
- 6-8+ years of experience in data analysis or an analytical capacity
- 2+ years of experience leading cross functional teams and influencing Product, Engineering, Business, and Operations.
- Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
- Experience with A/B and Multivariate test design and implementation and Regression modelling
- You have a passion for working in a fast-paced agile environment
- 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 (e.g. Mixpanel, Quantum Metric, Splunk, etc.)
- MBA or Master's Degree in Mathematics, Engineering, Statistics or a related technical field
- Background in Digital Product Analytics, Retail, and/or eCommerce and ideally experience with 'two-sided' businesses (Buyer & Seller) like a Marketplace (eBay), Rideshare (Uber), other 'sharing' business models (AirBnB, Task Rabbit, etc.)
- Regional Pay Zone (RPZ) (based on location)
- Stock equity incentives
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