P
Full Time Any

New Hampton, New York · USA job

Digital Marketing & Advertising Performance Analysis ()

Placement Services USA, Inc.

New Hampton, New York

Job description

Responsible for optimizing product performance, advertising efficiency, and revenue growth on the Amazon platform. Applies advanced business and data analytics principles to evaluate marketplace performance, guide strategic decision-making, and improve ROI across product listings and paid media.

Marketplace Performance & Optimization

Own the data-driven optimization of Amazon product listings, including titles, bullet points, images, A+ Content, pricing, and merchandising strategy.

Use performance data (traffic, conversion rates, sales velocity, and elasticity) to recommend and implement listing improvements.

Apply analytical frameworks to assess product lifecycle performance and identify growth opportunities.

Advertising & Marketing Analytics (PPC)

Manage Amazon PPC campaigns with a focus on quantitative performance measurement, including ROAS, TACoS, CPC, and contribution margin.

Perform statistical and trend analysis on search term and campaign data to optimize targeting, budget allocation, and bid strategies.

Develop hypotheses, run controlled optimizations, and evaluate results using data-backed methodologies.

Data Automation & Reporting Process Improvement

Develop and maintain automated reporting processes and data pipelines to improve reporting accuracy, streamline recurring analysis, and reduce manual reporting efforts.

Clean, validate, and consolidate large datasets from multiple internal and external data sources for analysis and reporting purposes.

Keyword, SEO & Market Intelligence

Conduct structured keyword and search demand analysis using Amazon data and analytical tools.

Apply competitive and market data analysis to assess category trends, pricing dynamics, and consumer behavior.

Use data insights to support organic ranking strategy and advertising alignment.

Conduct business intelligence and marketing analytics using tools such as Excel, SQL, Power BI, Tableau, Python, and related reporting platforms.

Create dashboards, reports, and data visualizations to support weekly business reviews, operational planning, and strategic decision-making.

Product Launch & Lifecycle Analytics

Lead analytics-driven execution of Amazon product launches, including:

Market and keyword opportunity analysis

Performance forecasting and early-stage KPI tracking

Post-launch evaluation and optimization

Monitor launch outcomes and adjust strategies based on real-time data.

Utilize marketplace analytics tools and reporting systems to generate actionable recommendations for product positioning and campaign performance improvement.

Cross-Functional Collaboration

Partner with Product Development, Creative, and Operations teams to align data insights with business and marketing strategy.

Communicate analytical findings clearly to both technical and non-technical stakeholders.

Collaborate with cross-functional teams, including operations, inventory management, and marketing stakeholders, to monitor inventory health, identify replenishment risks, support product launch initiatives, and improve overall operational efficiency.

Market Research & Competitive Analysis

Perform market research, competitive analysis, and performance benchmarking to evaluate market conditions, customer demand, and industry trends.

Prepare summaries, insights, and recommendations for management based on quantitative and qualitative analysis.

Education and Experience Requirements

Masters in Business Analytics, Data Analytics, Analytics, Marketing Analytics, or a related quantitative discipline.

6 months experience (internships will be accepted) in market research, analyzing business metrics, and using analytical tools such as Tableau, Python, or similar software to create reports, dashboards, and actionable business insights.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line.

Thank you.

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