Customer Feedback Analyst (contract)

Arlo Technologies

Base: $80,000– $110,000pyear; bonus/equity: not sp...
Analyze product reviews across platforms
Quantify cost of negative experiences
Model impact of review trends on pos
This role will be pivotal in mining and analyzing product reviews across platforms to uncover drivers of poor customer sentiment, quantify the cost of negative experiences, and model the impact of review trends on point-of-sale (POS) performance

Job Summary

  • This role will be pivotal in mining and analyzing product reviews across platforms to uncover drivers of poor customer sentiment, quantify the cost of negative experiences, and model the impact of review trends on point-of-sale (POS) performance.
  • The ideal candidate will bring a blend of analytical rigor, business acumen, and storytelling ability to influence cross-functional investments that improve customer satisfaction and brand reputation.
  • Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users.

Matching Summary

This role will be pivotal in mining and analyzing product reviews across platforms to uncover drivers of poor customer sentiment, quantify the cost of negative experiences, and model the impact of review trends on point-of-sale (POS) performance.

Salary

Base: $80,000– $110,000/year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Analyze product reviews across platforms
  • Quantify cost of negative experiences
  • Model impact of review trends on POS
  • Data-driven and strategic insights
  • Influence cross-functional investments

Nice-to-have

  • Blend of analytical rigor and business acumen
  • Storytelling ability to influence stakeholders
  • Pushing boundaries of protection technology

Key Requirements

  • 3+ years of experience in data analytics, customer experience, or product insights
  • Proficiency in SQL, Python or R, and data visualization tools
  • Strong understanding of eCommerce, retail, and customer feedback ecosystems
  • Bachelor’s degree in Finance, Data Science, Economics, or related field

Work Rights

Not specified

Tailored Resume

Cover Letter