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Mercury Insurance · 2 months ago

Marketing Data Analyst Intern

United States

Internship

Remote

Intern

$30/hr - $30/hr

Start in 2026 Summer

Mercury Insurance is offering a summer internship program designed for students to gain practical work experience in marketing analytics within the insurance sector. The internship focuses on campaign measurement, audience segmentation, and data analysis, providing hands-on experience and mentorship opportunities.

Insurance

Responsibilities

Analyze campaign and channel performance (paid media, owned channels, web) to quantify ROI and surface optimizations

Build dashboards and reporting to track KPIs (e.g., funnel conversion, CAC, LTV proxies, engagement metrics)

Support audience segmentation and propensity analyses to improve targeting and personalization

Design and evaluate A/B and multivariate tests; track results and translate findings into recommendations

Perform data hygiene and quality checks; document data definitions and analytical methods

Synthesize insights in clear narratives with visuals for marketing stakeholders

Present a capstone summarizing findings, impact, and proposed next steps

Qualification

SQLData visualizationMarketing analyticsExcel/Sheets proficiencyA/B testingData hygieneStatistical analysisCommunicationProblem solving

Required

Be legally eligible to work in the U.S

Currently pursuing a Bachelor's degree in Data Science, Statistics, Economics, Marketing, Business Analytics, or related field

Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher preferred

Ability to work 40 hours a week, 12-week internship, beginning June 2026

Enrolled student attending a university program with an expected graduation date on or after August 2025

Planning to seek full-time employment between December 2026 and September 2027

Preferred

Coursework in statistics, experimental design, and data visualization

Prior internship/project experience in marketing analytics, growth, or BI

Excel/Sheets proficiency; experience with SQL; familiarity with visualization tools (Power BI or Tableau); understanding of A/B testing fundamentals; strong communication and problem solving

Exposure to web/app analytics platforms (e.g., Google Analytics or Adobe Analytics), and/or experience with site visit data; familiarity with marketing platforms (e.g., ad platforms, marketing automation)