Pricing Analyst

Summary

360training is a fast-growing leader in online and live training across multiple industries, dedicated to empowering people and organizations. The Pricing Analyst will drive revenue growth and profitability through proactive pricing analysis and strategy development, collaborating with various departments to ensure data-driven pricing decisions aligned with business objectives.

Responsibilities

• Own and lead the analysis of core pricing performance metrics, including total billings, average order value, price per unit, margin, and contribution margin
• Analyze pricing performance as it relates to overall profitability, customer behavior, and product viability
• Develop and maintain advanced pricing models to evaluate pricing trends, elasticity, and margin impact
• Translate and communicate complex pricing data into clear, executive-ready insights and recommendations
• Own the analysis and modeling for the development, testing, and refinement of pricing strategies
• Proactively recommend price changes based on customer behavior, product performance, market dynamics, and competitive trends
• Monitor and assess the effectiveness of promotions, pricing campaigns, bundling strategies, and discounting frameworks
• Work closely with Product Marketing and Sales to continually refine the organizations pricing curve with an emphasis on driving more total profits
• Build, own, and maintain pricing dashboards that clearly visualize key performance indicators
• Utilize tools such as Excel, SQL, and BI platforms (e.g.Power BI, Tableau) to generate actionable pricing insights
• Ensure data accuracy, integrity, and consistency across pricing analyses and reporting
• Partner with Product Marketing, Sales, and Finance to influence pricing decisions and strategy
• Support pricing decisions for new product launches, including economic value estimation and pricing frameworks
• Collaborate with Technology teams to enhance pricing data infrastructure and automation
• Clearly communicate pricing tradeoffs and recommendations—even when they challenge existing assumptions

Skills

• Bachelor's degree in business, Finance, Economics, Statistics, Data Analytics, or a related field
• 3+ years of experience in data analytics, business analytics, product analytics, revenue analytics, or a related analytical role
• Demonstrated curiosity and analytical reasoning, including the ability to explore unfamiliar problems, challenge assumptions, develop hypotheses, and determine the appropriate analytical approach
• Demonstrated business acumen, with experience connecting analytical findings to customer behavior, revenue, profitability, and operational priorities and using those insights to recommend a course of action
• Understanding of or demonstrated ability to quickly learn pricing concepts such as price elasticity, contribution margin, discounting, bundling, and revenue management
• Proficiency in SQL, Excel, and BI tools such as Power BI or Tableau with experience working with large, complex, or disparate datasets
• Strong communication and data storytelling skills, with the ability to explain complex findings and their business implications to non-technical stakeholders
• Experience applying analytics to pricing, revenue optimization, product performance, profitability, promotions, or customer behavior
• Experience designing or evaluating business experiments and distinguishing the effect of an initiative from broader market or performance trends
• Experience in eCommerce industry
• Ability to work independently in a fast-paced growth environment

Qualifications

Must Haves

• Bachelor's degree in business, Finance, Economics, Statistics, Data Analytics, or a related field
• 3+ years of experience in data analytics, business analytics, product analytics, revenue analytics, or a related analytical role
• Demonstrated curiosity and analytical reasoning, including the ability to explore unfamiliar problems, challenge assumptions, develop hypotheses, and determine the appropriate analytical approach
• Demonstrated business acumen, with experience connecting analytical findings to customer behavior, revenue, profitability, and operational priorities and using those insights to recommend a course of action
• Understanding of or demonstrated ability to quickly learn pricing concepts such as price elasticity, contribution margin, discounting, bundling, and revenue management
• Proficiency in SQL, Excel, and BI tools such as Power BI or Tableau with experience working with large, complex, or disparate datasets
• Strong communication and data storytelling skills, with the ability to explain complex findings and their business implications to non-technical stakeholders

Nice to Haves

• Experience applying analytics to pricing, revenue optimization, product performance, profitability, promotions, or customer behavior
• Experience designing or evaluating business experiments and distinguishing the effect of an initiative from broader market or performance trends
• Experience in eCommerce industry
• Ability to work independently in a fast-paced growth environment

Benefits

• Remote position
• Flexible time off and company recognized holidays
• 401k Pension Plan with company match contributions
• Short-Term and Long-Term Disability
• Life Insurance- Basic, Voluntary, and AD&D
• Healthcare- Medical, Dental, Vision, and MDLive
• Flexible spending & Health Savings Accounts (HSA)
• Employee Assistance Program (EAP)