Location: CA - Burlingame ( Onsite preferred , but open to fully remote) (As close to pst as possible)
Contract Type: W2
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.