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How much do pricing strategy analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for pricing strategy analyst in the United States is $69,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $80,500.00 per year, depending on experience, location, and employer.

What is the difference between Pricing Strategy Analyst vs Pricing Analyst?

AspectPricing Strategy AnalystPricing Analyst
CredentialsBachelor's degree in Business, Finance, or Economics; certifications like CPC or CPIM beneficialBachelor's degree in Business, Finance, or Economics; certifications like CPC or CPIM beneficial
Work EnvironmentStrategic planning teams, cross-functional collaboration, corporate officesSales, marketing, or finance departments; often in corporate or retail settings
Employer & Industry UsageUsed in industries like retail, manufacturing, and technology for strategic pricing decisionsCommon in retail, manufacturing, and service sectors for setting and analyzing prices

The main difference is that a Pricing Strategy Analyst focuses on developing long-term pricing strategies and market positioning, while a Pricing Analyst primarily analyzes current pricing data to optimize existing prices. Both roles require similar credentials but differ in scope and strategic focus.

What are some common challenges faced by Pricing Strategy Analysts when working with cross-functional teams?

Pricing Strategy Analysts often collaborate with sales, marketing, finance, and product teams to develop competitive and profitable pricing models. One common challenge is balancing the differing objectives and priorities of each department, such as sales' focus on revenue growth and finance's focus on margins. Effective communication and negotiation skills are essential to align stakeholders and ensure that pricing strategies support both short-term sales goals and long-term profitability. Additionally, analysts must frequently adapt to changing market data and customer feedback, making flexibility and data-driven decision-making crucial in this role.

What are the key skills and qualifications needed to thrive as a Pricing Strategy Analyst, and why are they important?

To thrive as a Pricing Strategy Analyst, you need strong analytical skills, proficiency in data analysis, and a background in finance, economics, or a related field—often supported by a bachelor’s or master’s degree. Familiarity with statistical software (such as Excel, SQL, Python, or R), business intelligence tools, and sometimes certification in pricing or analytics is valuable. Excellent problem-solving abilities, attention to detail, and clear communication skills help you present findings and influence stakeholders. These skills are crucial for developing effective pricing strategies that optimize revenue, competitiveness, and profitability.

What does a Pricing Strategy Analyst do?

A Pricing Strategy Analyst is responsible for analyzing market trends, competitor pricing, and customer data to develop effective pricing strategies for a company's products or services. They use quantitative models and business intelligence tools to recommend price points that maximize profitability while maintaining competitiveness. Additionally, they often collaborate with sales, marketing, and finance teams to ensure pricing aligns with overall business goals. Their work helps businesses respond to market changes and optimize revenue.
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What states have the most Pricing Strategy Analyst jobs? States with the most job openings for Pricing Strategy Analyst jobs include:
What job categories do people searching Pricing Strategy Analyst jobs look for? The top searched job categories for Pricing Strategy Analyst jobs are:
Pricing Strategy Analyst jobs near you
Infographic showing various Pricing Strategy Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $69,640 per year, or $33.5 per hour.

Senior Pricing Strategy Analyst

Realtor.com Careers

Austin, TX • On-site

Other

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

The Data Science & Analytics organization at Realtor.com is looking for a Senior Pricing Strategy Analyst to join our team as a strategic partner supporting Lead Intelligence & Revenue Optimization. This role will provide strategic insights and data driven guidance to support the creation of a unified engine that strategically supports the full lifecycle of a lead-optimizing lead generation and inventory allocation to maximize organizational yield and client satisfaction.

As a Senior Data Analyst, you will not just report data; you will be a key analytical engine driving our revenue management strategy. You will work at the intersection of supply quality and demand yield, using data to drive precise decisioning for geo-targeted marketing and smart inventory management.

Top Reasons to Apply

  • Massive White Space & High Visibility: Over the past year, Realtor.com has successfully stood up a brand-new Pricing Organization. We've built the data foundation; now, we are in Phase 2-hardening the function and scaling it out. If you love being in the spotlight and want a massive say in shaping a critical business function from the ground up, this is your stage.

  • Highly Valued Executive Investment: This team isn't tucked away in a back room-it is one of the most heavily backed, highly valued investment areas within the company. You will have a front-row seat to a significant roadmap of strategic initiatives, giving your work direct, measurable airtime with executive leadership.

  • Move Beyond the Dashboards: We aren't looking for someone to maintain Power BI dashboards or pull passive data tickets. We already have talented data scientists and analysts. We need a commercially minded strategist who can look at pricing mechanics, understand market dynamics, and drive actual revenue strategy.

What You'll Do
  • Lead Intelligence Strategy & Support: Act as the primary analytical partner for the Lead Intelligence initiative, helping to define and align lead inventory allocation and optimization across all geographies.
  • Advanced Forecasting & Modeling: Evolve and improve sophisticated forecasting models for lead delivery and sales pipeline. You will perform scenario analysis to maximize outcomes while optimizing the consumer and client experience.
  • Inventory & Yield Optimization: Conduct deep-dive analyses to identify and prioritize high-value leads by geography and intent signal. Use these insights to recommend rules-based allocation strategies that optimize yield.
  • Impact Simulation: Simulate and report on the knock-on effects of changes to product eligibility and allocation rules across various business units.
  • KPI Development & Monitoring: Track and forecast lead delivery for operational planning, building new KPIs to measure the success of lead outcomes and revenue optimization.
  • Cross-Functional Partnership: Collaborate with Product, Tech, Pricing, and Client Engineering teams to ensure the standardized implementation of rules across the RDC ecosystem.
What You'll Bring
  • Education & Experience: Bachelor's Degree in Business Analytics, Math, Economics, or a related field, with 5+ years of experience analyzing data to answer critical business questions. Master's Degree with 3+ years of experience or PhD also eligible.
  • Technical Mastery: Advanced knowledge of SQL is required. Proficiency in Python or R is a plus for building sophisticated optimization models.
  • Data Visualization: Experience with tools like Tableau, Shiny, or Streamlit to create impactful data stories for executive stakeholders.
  • Analytical Rigor: Strong understanding of experimentation and statistics (e.g., hypothesis testing, regression analysis, and statistical modeling) to analyze lead and feature-level performance. Experience with modeling and simulation capabilities preferred.
  • Cloud Platforms: Experience working within cloud-based environments such as AWS and Snowflake.
  • Strategic Thinking: Ability to handle operational complexity and move from "what" the data says to "why" it is moving, enabling data-driven decisioning for the entire organization.
  • Agility: Comfort working in a highly agile, intensely iterative environment where you must manage multiple priorities and ambiguous concepts.
How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

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