Senior Pricing Strategy and Insights Analyst

Jobtailor

Rosemont (IL)

On-site

USD 90,000 - 150,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a pricing analytics leader to drive complex pricing analyses, design experiments, and build scalable data products. You will collaborate with Revenue Management, Field Pricing, Sales, Merchandising, and Strategy to translate insights into action across customers, segments, regions.

The role emphasizes advanced analytics, data-driven decision making, and cross-functional collaboration to optimize pricing strategies and commercial transformations.

Qualifications

4+ years in pricing, analytics, or strategic project management
Strong analytical problem-solving and data integration skills
Advanced Excel and PowerPoint proficiency
Experience with SQL to query large datasets
Experience with data visualization and statistical analysis
Python and cloud data platforms experience; forecasting, price elasticity, optimization or ML
Ability to translate complex methods into clear recommendations

Responsibilities

Lead pricing analyses and develop quantitative frameworks across customers, segments, regions
Design, execute, and evaluate pricing experiments (A/B tests)
Estimate impact, quantify uncertainty, and recommend pricing adjustments
Build and maintain scalable datasets, dashboards, and reporting products
Monitor pricing KPIs and automate recurring insights for stakeholders
Partner with pricing teams and develop data-driven recommendations and tools
Collaborate with commercial leadership to align analytics with strategy
Translate pricing actions into scalable field execution
Lead cross-functional analytics workstreams in pricing strategy and optimization
Collaborate with Revenue Management, Sales, Strategy, Analytics and vendors

Skills

Pricing Analysis

Analytical Problem-Solving

Communication

Project Management

Stakeholder Engagement

Forecasting

Machine Learning

Causal Inference

Education

Bachelor’s degree in Business, Economics, Engineering, Statistics, or related quantitative field

Tools

Excel

PowerPoint

Python

Cloud Data Platforms

Data Dashboards

Reporting Products

SQL

Job description

Lead complex pricing analyses and develop quantitative frameworks to identify, size, and prioritize pricing opportunities across customers, segments, categories, and regions
Design, execute, and evaluate pricing experiments, including A/B tests and quasi-experimental approaches
Estimate impact, quantify uncertainty, and recommend pricing adjustments
Build and maintain scalable analytical datasets, dashboards, and reporting products
Monitor pricing KPIs, automate recurring insights, and communicate decision-ready findings to stakeholders
Serve as an analytical partner to field pricing teams and develop data-driven recommendations and tools
Partner with commercial leadership to connect analytical findings to strategic priorities and evaluate tradeoffs
Translate pricing actions into scalable field execution
Lead analytical workstreams within cross-functional projects involving pricing strategy, predictive analytics, competitive intelligence, and commercial transformation
Perform other duties as assigned by manager
Collaborate with Revenue Management, Field Pricing, Sales, Merchandising, Strategy, Analytics, Data Science, vendors, and consultants

Requirements

Minimum of 4+ years of experience in pricing, analytics, or strategic project management roles
Strong analytical problem-solving skills, including structuring ambiguous business questions, integrating data from multiple sources, and translating results into actionable insights
Advanced proficiency in Excel and PowerPoint
Experience using SQL to query and transform large datasets
Experience with data visualization, reporting, and statistical analysis
Experience with Python, cloud data platforms, and advanced analytical methods such as forecasting, price elasticity, optimization, machine learning, or causal inference
Ability to translate complex analytical methods and findings into clear, concise recommendations for technical and non-technical stakeholders
Ability to independently manage multiple analytical projects in a fast-paced, ambiguous environment
Occasional travel as business requires (no more than 10%)
Bachelor’s degree in Business, Economics, Engineering, Statistics, or related quantitative field required

Core Competencies

Demonstrates expertise in pricing analysis, data-driven decision-making, and advanced analytical methods, including SQL and Python. Capable of translating complex data insights into actionable recommendations for diverse stakeholders.

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