Sr. E-commerce Pricing Analyst
PlanetArt
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Benefits offered by this job
Job summary
PlanetArt is seeking a Senior E-commerce Pricing Analyst to analyze, develop, and optimize online pricing across brands and channels. You will build data-driven pricing models and share actionable recommendations that drive revenue and margins.
This hybrid Calabasas-based role requires 3 days in-office and 2 remote, with relocation possible for local candidates. You will collaborate with Ecommerce, Marketing, Product, and Finance to shape pricing strategy and experimentation.
Qualifications
- Bachelor's degree required 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, pricing psychology, and profitability.
- Strong understanding of statistics and A/B testing.
- Advanced Excel skills.
Responsibilities
- 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.
Skills
Education
Tools
Job description
PlanetArt's vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of life events.
The company's brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading Simplytolmpress card and stationery site, as well as Personal Creations, Cafe Press and ISeeMe ! Visit www.planetart.com to learn more about our brands.
We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe.
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 andsupport 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)
- 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.
- 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.
- 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.
- Bachelor's degree inBusiness, Economics, Finance, Statistics, Mathematics, Data Analytics, or related field.
- 4-7+ years of experiencein 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.
- Work is performed in an office environment with low to moderate noise levels.
- Occasional lifting of up to 20 pounds.
- Position requires regular, continuous use of computer.
- Position requires regular sitting and standing.
- Position requires regular interaction with team members through the following methods: in-person, phone, WebEx, Zoom, or email.
- May require occasional travel.
- This is a hybrid position; employees are expected to be in the office three days per week (Monday, Tuesday, and Thursday) with the option of working remotely two days (Wednesday and Friday).
The compensation range for this position is $105,000 - $130,000 annual salary.
- Health, Dental, and Vision Insurance
- Life Insurance
- 401(k) with matching
- Pet Insurance
- Mental Health Benefits
- Comprehensive Time Off Program, including Vacation, Sick Days, Paid Holidays, and Floating Holidays
- Employee Product Discounts
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