AI-Driven Pricing Analyst for Revenue Growth

LHH

Chicago (IL)

On-site

USD 85,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Annual bonus
Medical, dental, and vision benefits
401(k) with company match
Paid time off
Career advancement opportunities

Job summary

LHH is seeking a data-driven Pricing Analyst to support pricing strategy, revenue optimization, and business performance insights through analytics and AI-driven decision making. The role will leverage large datasets, market intelligence, and performance metrics to identify revenue opportunities and provide actionable recommendations.

The ideal candidate has 3+ years in pricing analytics or related analytics, strong SQL, and experience with Power BI.

Qualifications

  • Bachelor's degree in a related field.
  • 3+ years of pricing analytics or related analytics experience.
  • Strong SQL and data querying skills.
  • Experience creating analytics dashboards with Power BI preferred.
  • Knowledge of AI-driven analytics and forecasting is a plus.

Responsibilities

  • Analyze pricing performance, customer behavior, and market trends to optimize revenue and profitability.
  • Utilize AI-enabled analytics and advanced modeling to identify pricing opportunities and growth initiatives.
  • Evaluate promotional effectiveness and ROI of pricing and marketing campaigns.
  • Monitor competitive market activity to support pricing strategy decisions.
  • Develop dashboards, reports, and visualizations to communicate pricing performance.

Skills

SQL querying
Power BI
Python
R
Data analysis
Dashboards

Education

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

Tools

SQL

Job description

LHH is seeking a data-driven Pricing Analyst to support pricing strategy, revenue optimization, and business performance insights through analytics and AI-driven decision making. The role will leverage large datasets, market intelligence, and performance metrics to identify revenue opportunities and provide actionable recommendations.

The ideal candidate has 3+ years in pricing analytics or related analytics, strong SQL, and experience with Power BI.

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