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E-commerce Fraud & Data Insight Analyst

Job in Carson, Los Angeles County, California, 90749, USA
Listing for: See's Candies Inc
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Data Analyst, Ecommerce
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
E-Commerce Fraud & Data Insights Analyst page is loaded## E-Commerce Fraud & Data Insights Analyst locations:
Carson, CAtime type:
Full time posted on:
Posted 30+ Days Agojob requisition :
JR105025
** Work is Sweet!**'Quality without Compromise' is not just a motto at See's Candies. It is the most important ingredient in our recipe for success. See's Candies has been in business since 1921 and maintains a reputation for producing the highest quality candy and providing superior customer service.  See's is a leader in the confectionary industry with over 250 retail shops across the USA.

We are seeking friendly, enthusiastic individuals who are passionate about providing great customer service.
** Job Description

Summary:

** POSITION OBJECTIVE:
The E-commerce Fraud & Data Insights Analyst will play a critical role in monitoring and interpreting fraud detection as well as analyzing ecommerce data to optimize online sales, enhance customer experience, and protect revenue. This position combines traditional ecommerce analytics with a strong emphasis on fraud prevention, using data-driven insights to reduce risk and ensure a safe shopping environment for customers.
The pay range for this position at commencement of employment is expected to be between $78,000k - $83,000k per year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience
*
* Job Description:

***
* POSITION RESPONSIBILITIES:

*** Analyze fraud detection data and monitor real-time alerts to identify suspicious activities, transaction anomalies, and emerging fraud patterns.
* Collaborate with customer care, finance, and our third-party fraud prevention providers to investigate suspicious transactions, resolve disputes, escalate complex cases, and contribute to the continuous optimization of the fraud detection processes.
* Oversee the integration of fraud prevention third-party provider with Salesforce Commerce Cloud and order management platforms to ensure accurate decisioning and minimal impact on customer experience.
* Work cross-functionally with IT, development, finance, marketing, and customer service to implement best practices in fraud mitigation and ecommerce data analysis. Develop, maintain, and optimize dashboards and regular reports for management, clearly communicating results, analysis and recommendations.
* Document and train internal stakeholders on fraud prevention processes, fraud scoring methodology, and decisioning guidelines.
* Partner with the analytics and data team to collect, analyze, and interpret ecommerce performance data, including website traffic, customer behavior, transaction patterns, and online sales to uncover trends and actionable insights. Monitor and report on key metrics such as conversion rates, average order value, cart abandonment, and customer lifetime value to optimize business performance.
* Conduct A/B tests and experiments to improve both ecommerce conversion and fraud prevention strategies.
* Evaluate current technologies and tools for fraud detection and provide recommendations for enhancements or new solutions.
* Stay up to date on industry trends related to ecommerce analytics and emerging fraud tactics.
* All See’s staff must be committed to the company’s core principles and workplace values, including diversity and inclusion.
* *
* MINIMUM QUALIFICATIONS:

*** Bachelor’s degree in business, data science, statistics, finance, computer science, or a related field; equivalent related work experience may be considered in lieu of degree.
* Minimum of 2–4 years' experience in fraud prevention, ecommerce analytics, or a closely related data analysis field, preferably with annual sales in excess of $500M.
* Strong proficiency with fraud detection software and ecommerce platforms, analytics tools (Salesforce Commerce Cloud, Google Analytics 4, Full story, Power BI, etc.).
* Experience identifying suspicious transactions and working with risk mitigation procedures.
* Excellent written and verbal communication skills for report writing and stakeholder presentation Exceptional verbal, written and presentation skills.
* Highly…
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