Job Description

About the Team

With our user-centric approach to problem solving, customers and associates are at the heart of everything we build.

A curious bunch, we fall in love with the problem that needs solving and collaborate with our design, technology and business partners to create inclusive, award-winning solutions. Our entrepreneurial spirit, like that of our founder Sam Walton, pushes us to dream big, but we also hold ourselves accountable with objectives and key results. Innovating on the world’s biggest stage, we get to put our product management expertise to work to deliver customer-centric shopping solutions like the Walmart app, game-changing financial and health and wellness services, and next generation associate tools, like an augmented reality stocking app, and so much more. This is that place where our work has a purpose and we see it play out in our stores and communities every day.

As a Staff Product analyst, you will be able to empower product owners,

designers, and developers use this data to guide their decisions allows companies to fully understand how users engage with their product by analyzing users’ digital footprints step-by-step to see what leads them to engage, return, or churn.

What you'll do:

The role involves partnering very closely with multiple PMs, Engineers, Test

Managers and Business Partner to elevate the site experience for the

verticals on Walmart.  Analyze click stream data to understand how

customers are interacting with the site. Uncover user pain points and help in

building inspirational experiences.

Partner with the Product Analytics Management, Product Managers and engineering teams to accurately track and analyze existing and new product initiatives.
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
Define and monitor KPIs to measure product performance
Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured
Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performance
Extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as Teradata, bigQuery, Google cloud, hive to identify opportunities.
Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
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 (e.g., Desktop, Mobile, etc.). 
Provide and supports the implementation of product solutions
Provide data driven insights and deliver recommendations that address opportunities for product improvements
Provide analytical support to Product Managers
Ensure accuracy of data capture strategy
A/B Test: Test variations on messaging or features.
Display dashboards: Visualize data with templated or custom
reports. Create effective reporting and dashboards.
Measure: Measure engagement by feature
A self-starter: Can drive projects with minimal guidance
Strong communicator: You effectively synthesize, visualize, and
Communicate your ideas to others
4-6 years of Product analysis

You’ll sweep us off our feet if…

You’re able to use metrics to improve performance

You’re excited about solving complex challenges

You’re customer-centric in spirit and in execution

You’re comfortable influencing others, leading teams, managing stakeholders, and communicating clearly

You have a test and learn mentality and an agile way of working to improve your product

Perks and Benefits

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 

Who We Are

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. 

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 1 year's experience in data analysis, data science, statistics, or related field. Option 3: 5 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)