Product Review Analyst (Contract)

Arlo TechnologiesCarlsbad, CA
4d

About The Position

At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. 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 that is easy to set up and interact with every day. We are seeking a data-driven and strategic Product Review Analyst to join our Customer Care team. 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. This role is a 1-year fixed term contract.

Requirements

  • Bachelor’s degree in Finance, Data Science, Economics, or related field
  • 3+ years of experience in data analytics, customer experience, or product insights.
  • Proficiency in SQL, Python or R, and data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of eCommerce, retail, and customer feedback ecosystems.
  • Excellent communication and storytelling skills with the ability to influence cross-functional stakeholders.

Nice To Haves

  • Experience with NLP techniques for sentiment and text analysis.
  • Familiarity with review platforms and scraping tools.
  • Background in financial modeling or ROI analysis.

Responsibilities

  • Review Mining & Sentiment Analysis Aggregate and analyze product reviews from multiple sources (e.g., Amazon, DTC site, retail partners). Identify recurring themes, sentiment trends, and root causes of poor reviews (e.g., product quality, service issues, delivery delays).
  • Cost of Poor Experience Modeling Quantify the financial impact of negative reviews, including lost sales, returns, and customer churn. Collaborate with Finance and Product teams to estimate cost of remediation and potential ROI of improvement initiatives.
  • Strategic Forecasting Model the impact on POS performance if average review ratings remain stagnant (~3.5 stars). Simulate uplift scenarios based on improved review ratings and customer sentiment.
  • Investment Planning Recommend targeted investments (e.g., product fixes, packaging changes, service enhancements) to drive positive reviews. Partner with Product, Marketing, and Customer Care to prioritize initiatives based on impact and feasibility.
  • Reporting & Communication Build dashboards and executive-level presentations to communicate insights and recommendations. Track progress of initiatives and their effect on review scores and customer satisfaction metrics.
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