Marketing Analyst III (Qualitative Research Focus)

Overview

Placement Type:

N/A

Salary:

$60-63 Hourly

We're seeking a Qualitative Marketing Analyst to support a high-impact Customer Insights team focused on improving retail experiences through customer feedback. This role centers on transforming large-scale, open-ended survey responses into meaningful insights that drive business decisions. You'll work with high-volume customer feedback (including millions of survey responses), uncovering patterns, identifying themes, and connecting insights to real-world business operations.

Location: Cupertino, CA

Schedule: In-Office T/W/Th; Remote M/F

Pay Comments:

W2, weekly pay, benefits, 401k w/ match

Background screening required

What You'll Do

Analyze Customer Feedback at Scale

Review and interpret large volumes of open-ended survey responses to identify meaningful themes and patterns beyond surface-level tagging

Translate Feedback into Business Insight

Connect qualitative findings to business context, especially retail/store experiences, and uncover the "why" behind customer sentiment

Synthesize Qual + Quant Data

Link qualitative themes to quantitative metrics (e.g., satisfaction scores, NPS) to provide a holistic view of customer experience

Build Insightful Narratives

Transform complex, unstructured data into clear, compelling stories that inform stakeholders and influence decisions

Manage Multiple Projects

Balance several research initiatives simultaneously in a fast-paced, high-volume environment

Present Findings

Deliver insights through presentations, reports, and stakeholder discussions

Leverage Tools & Technology

Utilize text analytics tools, and explore AI-driven approaches to improve speed and depth of analysis

What We're Looking For

3-5+ years of experience in:

Qualitative research

Customer experience (CX) or Voice of Customer (VoC) programs

Market research or insights roles

Strong ability to:

Distill large volumes of qualitative data into clear, actionable themes

Move beyond literal interpretation

identify underlying meaning (e.g., "too expensive"

value perception)

Apply business context to customer feedback

Experience with:

Comment coding, thematic analysis, sentiment analysis

Open-ended survey design and interpretation

Comfort with:

Ambiguity and nuanced data

High-volume workloads and shifting priorities

Cross-functional collaboration

Nice to Have

Experience in:

Retail or in-store customer experience environments

Contact centers or customer support insights

Employee experience (EX) or eNPS programs

Familiarity with tools such as:

Qualtrics, Medallia, Clarabridge, or similar text analytics platforms

Python or R for text analysis (strong plus, not required)

Exposure to:

AI tools for qualitative analysis and research acceleration

Key Traits for Success

Curiosity: Asks the right questions and digs deeper into data

Humility & Coachability: Open to feedback and focused on getting it right vs. fast

Storytelling Ability: Can clearly communicate insights to diverse audiences

Attention to Detail: Balances depth of analysis with efficiency

Collaboration: Works well in team-based, high-bar environments

Education

Bachelor's degree in a relevant field (e.g., Psychology, Sociology, Anthropology, Communications) or equivalent experience

About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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