E-Commerce Data & Insights Analyst

'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 confectionery industry with over 250 retail shops across the USA, a growing e-commerce business, and expanding opportunities internationally. We are seeking friendly, enthusiastic individuals who are passionate about helping us grow and thrive in our second century.

Responsibilities

• The E-commerce Data Insights & Fraud Analyst will play a key role in driving data-informed decisions that optimize online sales performance, enhance the customer experience, and ensure a secure ecommerce environment
• This position will focus primarily on e-commerce analytics by leveraging tools such as Google Analytics 4 (GA4), Power BI, FullStory, and other reporting platforms to generate insights that influence strategic decisions within the Salesforce Commerce Cloud (SFCC) ecosystem
• The role will also maintain oversight of fraud analytics and e-commerce fraud tools to support revenue protection and operational excellence
• Leverage GA4, Power BI, FullStory, and other analytics tools to collect, analyze, and visualize key e-commerce metrics across the Salesforce Commerce Cloud platform
• Develop dashboards and recurring performance reports to monitor site engagement, conversion rate, cart abandonment, customer lifetime value, and other key performance indicators
• Partner cross-functionally with IT development, finance, marketing, merchandising, and customer service to identify trends, diagnose site performance issues, and uncover actionable insights to improve business outcomes
• Conduct A/B testing and user behavior analysis within SFCC and FullStory to support site optimization, improve user experience, and increase conversion
• Collaborate with the finance and customer service teams to provide analytics support for fraud trend analysis, rule performance, and incident reporting
• Maintain ownership of fraud detection tools within the e-commerce ecosystem, ensuring smooth platform integration and effective fraud rule management to balance customer experience with risk mitigation
• Stay informed on emerging e-commerce analytics trends, data visualization practices, and fraud detection technology
• Provide clear documentation, insights, and recommendations to business leaders to support strategic decision-making
• All See's staff must be committed to the company's core principles and workplace values, including diversity and inclusion

Skills

• Bachelor's degree in business, data science, statistics, finance, computer science, or a related field; equivalent relevant work experience may be considered
• Minimum of 2-4 years of experience in e-commerce analytics, digital performance analysis, or a related analytical role, preferably within a high-volume e-commerce environment
• Hands-on experience with GA4, Salesforce Commerce Cloud, Power BI, FullStory, and similar analytics tools
• Familiarity with e-commerce fraud analytics, fraud scoring methodologies, and third-party fraud prevention platforms. Hands-on experience with Signifyd a plus
• Proven ability to translate complex data into clear visuals and business insights
• Strong communication and presentation skills for stakeholder reporting and cross-functional collaboration
• Highly organized, analytical, and detail-oriented; capable of managing multiple data streams and priorities simultaneously
• Demonstrated ability to adopt new technologies quickly and drive data-driven initiatives forward

Benefits

• 💰 The pay range for this position at commencement of employment is expected to be between $78,000 - $83,000 per year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience
• 💼 The total compensation package for this position may also include other elements, in addition to a full range of generous medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered
• 🔄 If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors

Qualifications

• Bachelor's degree in business, data science, statistics, finance, computer science, or a related field; equivalent relevant work experience may be considered
• Minimum of 2-4 years of experience in e-commerce analytics, digital performance analysis, or a related analytical role, preferably within a high-volume e-commerce environment
• Hands-on experience with GA4, Salesforce Commerce Cloud, Power BI, FullStory, and similar analytics tools
• Familiarity with e-commerce fraud analytics, fraud scoring methodologies, and third-party fraud prevention platforms
• Proven ability to translate complex data into clear visuals and business insights
• Strong communication and presentation skills for stakeholder reporting and cross-functional collaboration
• Highly organized, analytical, and detail-oriented; capable of managing multiple data streams and priorities simultaneously
• Demonstrated ability to adopt new technologies quickly and drive data-driven initiatives forward
• See's will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance #131192 and Los Angeles Municipal Code 189.00)

Company

Sees

Location: San Francisco, CA

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