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).
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.
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.
Recommend targeted investments (e.g., product fixes, packaging changes, service enhancements) to drive positive reviews.
Build dashboards and executive-level presentations to communicate insights and recommendations.

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.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsSQLPythonRdata visualizationTableauPower BIfinancial impact analysissentiment analysisquantitative modeling

Soft Skills

communicationstorytellinginfluencingcollaborationanalytical thinkingproblem-solvingpresentation skillscross-functional teamworkattention to detailcritical thinking