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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. E-commerce Pricing Analyst - **Company:** Planetart LLC - **Location:** Calabasas, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $105,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, A/B Testing, Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Database Development, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Optimization Algorithms, Data Analytics - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=959b79b3866ddb57 ## About the Role * Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, Data Analytics, or related field. * 4-7+ years of experience in pricing analytics, e-commerce analytics, revenue management, merchandising analytics, business analytics, or a related field. * Experience using generative AI tools to accelerate data analysis, SQL development, modeling, research, and reporting. * Understanding of predictive modeling, price elasticity, demand modeling, or optimization techniques. * Experience working with large datasets and analytical tools such as SQL, Tableau, Python, R, or similar technologies. * Ability to translate complex analytical and AI-driven insights into clear business recommendations. * Strong understanding of ecommerce metrics, customer behavior, pricing psychology, and profitability. * Strong understanding of statistics and A/B testing. * Advanced Excel skills. ## Description PlanetArt is looking for a Senior E-commerce Pricing Analyst to support the company's pricing group. The successful candidate will be responsible for analyzing, developing, and optimizing online pricing strategies across e-commerce channels. This role combines pricing analytics, competitive intelligence, customer behavior analysis, dynamic pricing, and experimentation to improve pricing performance and support profitable growth. PLEASE NOTE: Candidates must be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote) What You'll Do, E-commerce Pricing Strategy * Analyze product pricing, sales, demand, conversion, and customer behavior to identify pricing opportunities and risks. * Develop data-driven pricing recommendations across brands, categories, products, and channels. * Develop pricing strategies for new products, seasonal products, promotions, and different stages of the product lifecycle. * Develop and enhance pricing models that incorporate historical sales, customer behavior, competitive pricing, promotions, seasonality, inventory, and other relevant variables. * Apply AI and machine learning to identify relationships and demand patterns across price, conversion, customer segments, promotions, and profitability. * Evaluate the expected revenue, margin, conversion, and demand impact of proposed pricing changes and provide actionable recommendations. * Design and analyze pricing experiments and A/B tests to measure customer response and quantify the incremental revenue and margin impact of pricing changes. * Partner with Ecommerce, Marketing, Product, Finance, and other teams to implement, evaluate, and optimize pricing strategies. Competitive Price Monitoring * Monitor competitor prices, promotions, discounts, and product assortment across major online marketplaces and ecommerce websites. * Leverage AI to accelerate competitive pricing analysis, including the collection, classification, normalization, and interpretation of competitor pricing data. * Identify products where company pricing is significantly above or below the competitive market and assess the potential business impact. * Analyze competitor price changes and market trends to identify potential pricing opportunities and risks. * Recommend appropriate responses to significant competitor price changes and shifts in market positioning. * Build and maintain competitive pricing dashboards, reporting, and automated alerts to provide ongoing visibility into market conditions. * Partner with Product, Marketing, Ecommerce, and other stakeholders to incorporate competitive intelligence into pricing decisions. Pricing Analytics * Analyze historical pricing and sales data to identify trends, opportunities, and key drivers of pricing performance. * Measure price elasticity and customer demand response to support pricing optimization. * Develop analytical models and scenario analyses to evaluate the potential revenue, margin, and demand impact of pricing decisions. * Build analytical tools and dashboards that enable stakeholders to evaluate pricing performance and simulate pricing scenarios. * Monitor pricing performance and investigate anomalies, outliers, and unexpected changes in revenue, margin, demand, conversion, or elasticity. * Develop automated monitoring and alerting to proactively identify significant changes in pricing performance, demand, and customer behavior. * Leverage generative AI to automate recurring analysis, summarize findings, identify key business drivers, and accelerate the development of actionable insights. * Identify opportunities to automate manual pricing processes through AI, machine learning, and intelligent workflows. * Continuously evaluate emerging AI capabilities and identify practical applications that improve the speed, accuracy, and scalability of pricing analytics. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023) - [React Developer Salary [2023]](https://www.wearedevelopers.com/magazine/198-react-developer-salary-2023) - [Frontend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/195-frontend-developer-salary-in-germany-2023)