Summary:
The Customer Experience (CX) team works to improve the customer experience across the end-to-end journey, including AI glasses and VR Quest devices . We collect customer insights across every channel and turn what we hear into actions that product, hardware, software, operations, and go-to-market teams use to make better decisions.
This role covers voice-of-customer analysis across the full customer journey: purchase, delivery, setup, support, warranty and returns, product and app reviews, and social sentiment. The analyst will turn customer feedback and post-sales data into clear findings and recommendations, and work with cross-functional partners to get them acted on. Most of the work is hands-on: pulling data, classifying and quantifying issues, validating results, writing narratives, and presenting to the people who own the fix.
The analyst will use LLM tools and AI agents every day to query data, classify and summarize customer text, synthesize across sources, and draft reports. They will build repeatable AI workflows that make recurring analysis faster and more reliable, and they will be the quality check on AI output before anything reaches a partner. We are looking for someone who can tell when an AI answer is right, when it is plausible but wrong, and how to fix the workflow that produced it.
Responsibilities:
Produce recurring and ad-hoc customer insight reports for our products that cover each stage of the customer journey, from purchase and delivery through support, warranty, returns, reviews, and social.
Identify emerging and fast-growing customer issues, size them, and flag likely root causes to the owning team.
Run deep dives on customer or product issues for cross-functional partners, applying strong analytical rigor and understanding of the data.
Deliver customer insight readouts during product launches, software releases, and war rooms.
Use AI agents and LLM tools as the primary way of working, from writing queries to classifying customer text and drafting narratives
Build and document reusable AI workflows for recurring analysis.
Review AI-generated analysis before it's shared, checking numbers, classifications, and claims against source data
Set up and maintain quality checks for AI workflows.
Build and maintain dashboards and reusable queries for customer experience metrics across the portfolio.
Help uphold data integrity by finding and reporting data quality issues, and working with data owners to get them fixed
Track which insights led to product or process changes, and report that impact back to the CX team.
Minimum Qualifications:
Bachelor's degree in analytics, data science, statistics, business, economics, information systems, or a related field, or equivalent practical experience
7+ years of experience in data analytics, customer insights, CX analytics, or a similar analytical role
2+ years in customer experience or customer insights analytics.
Experience writing SQL to query, join, and aggregate large datasets
Experience analyzing customer feedback such as support tickets, product reviews, surveys, or social media
Hands-on experience using LLM tools or AI agents in day-to-day analysis work, such as data extraction, text classification, summarization, query writing, or report drafting.
Experience validating analytical output, including checking AI-generated results against source data and correcting errors
Experience turning analysis into written recommendations and presentations for non-technical audiences
Experience handling multiple requests from different stakeholders with competing deadlines
Preferred Qualifications:
Experience building multi-step AI workflows or agents for analysis, such as prompt chains, agent skills, or retrieval over documents and da
Experience evaluating LLM output quality, for example with labeled test sets, precision and recall measurement, or structured sampling
Experience with semantic models, metric definitions, or knowledge bases that ground AI tools in business data
Experience with Python or R for data analysis
Experience with consumer electronics or hardware products, especially e-commerce, fulfillment, support, warranty, returns, or quality data
Experience analyzing customer feedback for software or apps alongside hardware
Experience with CX and support platforms such as Medallia, Qualtrics, Salesforce Service Cloud, Brandwatch, or Enterpret
Experience supporting product launches or incident response with fast-turnaround reporting
Experience presenting findings to product, engineering, or operations leaders
Familiarity with smart glasses, VR/AR headsets, or gaming hardware
Years of overall experience required: 7+ years
Degrees/certifications required: Bachelor's degree in analytics, data science, statistics, business, economics, info systems, or equivalent practical experience
Top 3 Must-have HARD skills:
7+ years of experience in data analytics, customer insights, or CX analytics
2+ years in customer experience or customer insights analytics
Proficiency writing SQL to query, join, and aggregate large data sets
Experience analyzing customer feedback (support tickets, reviews, surveys, social media)
Hands-on experience using LLM tools or AI agents in day-to-day analysis
Experience validating analytical output and checking AI-generated results against source data
Experience turning analysis into recommendations/presentations for non-technical audiences
Good to have skills:
Experience building multi-step AI workflows or agents (prompt chains, retrieval over docs)
Experience evaluating LLM output quality (labeled test sets, precision/recall)
Experience with Python/R, consumer electronics/hardware, or CX platforms (Medallia, Qualtrics, etc.)
Interviews: 1 round , possibly 2 if needed [Technical, behavioral, screening]
