Digital Analyst, Personalization Analytics

The Maven

San Francisco, CA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Adobe Analytics Microsoft Excel Data Visualization Data Warehousing Database Queries Google Analytics Microsoft Dynamics Pivot Tables Web Analytics Data Processing

Requirements

4+ years of experience in e-commerce or digital analytics, with demonstrated impact in personalization, testing, or lifecycle analysis.
2+ years of hands-on experience with web analytics platforms, with strong preference for Adobe Analytics. Experience with additional tools (e.g., Google Analytics, Amplitude) is also valuable.
Experience measuring and analyzing personalized experiences, audience segmentation, and customer-level behavior across sessions and channels.
Strong SQL skills and experience working with customer-level data in a data warehouse environment.
Advanced Excel skills, including complex data manipulation, pivot tables, and data visualization for executive-level reporting.
Strong business acumen with a deep understanding of e-commerce dynamics, customer behavior, and conversion optimization.
Proven ability to clearly communicate complex analytical findings to Manager- and Director-level stakeholders, translating data into actionable recommendations.
Exceptional attention to detail and organizational skills, with the ability to manage multiple initiatives and timelines simultaneously.
A curious, strategic mindset with the ability to proactively identify personalization opportunities and optimization strategies.
Demonstrated experience leading analysis for A/B, MVT, and personalization testing, with a focus on incremental and long-term impact.
Highly collaborative with excellent verbal and written communication skills, able to influence both technical and non-technical partners.
Strong critical thinking skills, with the confidence to challenge assumptions and advocate for data-driven personalization strategies that improve the customer experience.