Senior Manager, Data Analytics, Marketplace Payments & Financial Services

Walmart

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CABentonville, AR
Salary: $117,000–$234,000 / yr
Employment: Full-time
Posted: 15 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $176k

$103k $248k

below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $145,200–$205,368 — the blue band above. At the midpoint, this role pays about $176k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Analytics, Marketplace Payments & Financial Services

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The (USA) Senior Manager, Data Analytics – Marketplace Payments & Financial Services joins the Marketplace Payments & Financial Services team to lead analytics and measurement for the seller payment experience. This role involves developing metrics and insights across payment setup, processing, payouts, and financial services. You will identify friction points, establish measurement frameworks, and diagnose performance drivers to provide actionable recommendations for Product, Business, Operations, and Risk teams. Key responsibilities include building dashboards, scorecards, and recurring reports while defining success metrics for new payment capabilities. You will utilize SQL, Python, and statistical methods to analyze complex datasets. The role requires expertise in data visualization and BI tools to support the technical business problem of improving end-to-end payment journeys and scaling financial services for Marketplace Sellers.

Skills

SQL Python Spark Scala R Power BI Tableau Data Analytics Business Intelligence Statistics Product Analytics Data Visualization Ecommerce

What you'll do

Own analytics and measurement for the end-to-end Marketplace seller payment experience and financial services.
Identify friction points, failure drivers, and process gaps within the seller payment journey.
Build analytics for payment setup and configuration, including completion rates, processing times, and root causes.
Define success metrics and instrumentation for new payment capabilities and product launches with engineering teams.
Conduct deep-dive analyses to identify trends, anomalies, and drivers of payment performance.
Develop dashboards, scorecards, and recurring reports to provide leadership visibility into operational health.
Translate complex datasets into actionable business insights and prioritization recommendations for senior stakeholders.
Identify opportunities to automate analytics and build scalable, self-service reporting capabilities for business teams.

What we're looking for

Option 1: Bachelor's degree in a related field and 4 years' experience in data analysis, data science, statistics, or a related field.
Option 2: Master's degree in a related field and 2 years' experience in data analysis, data science, statistics, or a related field.
Option 3: 6 years' experience in data analysis, data science, statistics, or a related field and 1 year's supervisory experience.
Strong proficiency in SQL and experience conducting exploratory data analysis using Python and statistical methods.
Advanced analytical skills to turn large and complex datasets into actionable business insights.
Experience defining KPIs, measurement frameworks, product funnels, operational metrics, and performance scorecards.
Experience with data visualization and BI tools to develop dashboards and communicate complex insights effectively.
Experience with payments data, transaction analytics, seller or merchant payments, payouts, payment operations, or financial services is preferred.

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