Sr. E-commerce Pricing Analyst

PlanetArt

Calabasas (CA)

Hybrid

USD 105,000 - 130,000

Full time

7 days ago

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Benefits offered by this job

Health, Dental, and Vision Insurance

Life Insurance

401(k) with matching

Pet Insurance

Mental Health Benefits

Comprehensive Time Off Program

Employee Product Discounts

Job summary

PlanetArt is seeking a Senior E-commerce Pricing Analyst to optimize online pricing strategies across brands, categories, and channels. You will analyze pricing, demand, and customer behavior, and apply AI/ML to forecast impact and drive profitable growth.

The role requires collaboration with Ecommerce, Marketing, Product, and Finance, plus a hybrid work arrangement with three days in-office and two remote days in Calabasas area.

Qualifications

Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, Data Analytics, or related field.
4-7+ years of pricing analytics or related analytics experience.
Experience with generative AI tools for data analysis, SQL, modeling, 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
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

Generative AI tools

SQL development

Pricing analytics

Tableau

Python

Excel

A/B testing

Price elasticity

Demand modeling

Data visualization

Education

Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, Data Analytics

Tools

SQL

Tableau

Python

Excel

Job description

Company And Vision

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.

Company And Vision

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.

Job Overview

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

Key Responsibilities

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

Requirements

What You Should Have

Skills, Qualifications, And Requirements

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

What You Can Expect

Working Conditions

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)

Benefits

The compensation range for this position is $105,000 - $130,000 annual salary.

PlanetArt offers a comprehensive benefits package, including:

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