Product Analytics Lead, Mobile Apps & Insights

7-Eleven; Irving (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

7-Eleven is seeking a Product Analytics Lead to drive analytics strategy for the 7-Eleven mobile app. You will partner with product, engineering, marketing, and operations to turn data into insights that shape the digital customer experience for millions of users.

Translate complex data into actionable recommendations to influence executive decisions. You will apply analytical and technical skills to support leadership with hypotheses, testing, and prioritization, thriving in ambiguity and

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).
• At least 3 years of professional experience performing analysis.
• Strong communication skills with the ability to influence and drive decisions.
• Thrives in fast-paced, entrepreneurial environments.

Responsibilities

• Develop and execute the analytics roadmap for the 7-Eleven app, partnering with Product Managers to define success metrics and measure impact.
• Perform modeling/analytics to inform product decisions and evaluate features.
• Build and maintain dashboards, KPIs, and self-service reporting for stakeholders.
• Collaborate cross-functionally to ensure data integrity and instrumentation requirements.
• Identify business challenges and recommend data-driven improvements.
• Translate questions into analytical frameworks and present findings to senior leaders.

Skills

Data storytelling

Dashboarding

Stakeholder communication

Analytical thinking

Education

Bachelor's degree in quantitative field

Master’s degree in business or quantitative fields

Tools

SQL querying

Python

R

Job description

7-Eleven is seeking a Product Analytics Lead to drive analytics strategy for the 7-Eleven mobile app. You will partner with product, engineering, marketing, and operations to turn data into insights that shape the digital customer experience for millions of users.

Translate complex data into actionable recommendations to influence executive decisions. You will apply analytical and technical skills to support leadership with hypotheses, testing, and prioritization, thriving in ambiguity and