> Markdown version of [/jobs/ext/3779556-data-analyst-iv-26-26077](https://www.wearedevelopers.com/jobs/ext/3779556-data-analyst-iv-26-26077). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst IV- #26-26077

- **Company:** US Tech Solutions, Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Experienced
- **Salary:** $166,400.0 - $228,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Information Systems, Data Integrity, Data Presentation, Python (Programming Language), SQL Databases, Qualtrics, Large Language Models, Agentic-AI, Data Analytics, Automation Anywhere
- **Published:** October 16, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3451610607&tx=JR5347FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

Skillsets:

 * Proficiency writing SQL to query, join, and aggregate large datasets.
 * 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.

Education:

 * Bachelor's degree in analytics, data science, statistics, business, economics, information systems, or a related field, or equivalent practical experience., * 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.).

## Description

* Customer experience data analyst with 7 years of experience in data analytics, including 2 years analyzing customer feedback.
 * Required skills: SQL, analyzing reviews, social and support data, using AI tools to build and check analysis workflows, and data storytelling.
 * The Reality Labs Customer Experience (CX) team works to improve the customer experience across the end-to-end journey for Reality Labs products, including AI glasses and VR Quest devices.
 * 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., * 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.