Senior Pricing Analyst

hireneXus; Hackensack (NJ); Hybrid; USD 110,000 - 140,000; Full time

Job summary

hireneXus is seeking a Senior Pricing Analyst to develop pricing strategies, driving revenue growth and profitability across products and channels. You will partner with Sales, Marketing, Finance, Product Management, and Operations to translate data into actionable pricing insights.

The role emphasizes advanced analytics, financial modeling, dashboards, and BI tools; experience with Excel, Tableau/Power BI, SQL, and ERP/CRM systems is preferred.

Qualifications

• Bachelor's degree in Finance, Business, Data Analytics, Economics, or related field; MBA preferred.
• 5+ years in Pricing Analytics, Commercial Analytics, Revenue Management, FP&A, BI, or related analytics.
• Proven experience developing pricing strategies and improving revenue and profitability.
• Strong analytical and financial modeling skills with large data sets.
• Experience partnering with cross-functional teams (Sales, Marketing, Product, Finance, Operations).
• Advanced proficiency with Excel and BI/reporting tools such as Tableau, Power BI, SQL.
• Experience with ERP/CRM systems and cloud-based data environments preferred.
• Excellent communication and presentation skills; data-driven recommendations.
• Self-motivated, detail-oriented, fast-paced, collaborative, continuous improvement mindset.

Responsibilities

• Develop and execute pricing strategies to drive revenue growth and market competitiveness across the organization's products and sales channels.
• Analyze pricing performance, customer purchasing behavior, product mix, discounting, promotions, and margin trends to identify opportunities for optimization.
• Conduct competitive pricing and market analysis, monitoring industry trends and competitor activity to support strategic pricing decisions.
• Partner with Sales, Marketing, Product Management, Finance, and Operations to evaluate pricing initiatives, customer agreements, product launches, and commercial opportunities.
• Build financial models and perform scenario analysis to assess pricing strategies, price elasticity, customer segmentation, and revenue optimization.
• Develop executive dashboards, KPI reporting, and pricing analytics that provide actionable insights and improve business decision-making.
• Leverage business intelligence tools, automation, and advanced analytics to enhance reporting capabilities and improve pricing processes.
• Present recommendations and analytical findings to leadership, translating complex data into clear business insights.
• Identify opportunities to improve pricing methodologies, reporting, and analytics through technology, automation, and AI-enabled solutions.

Skills

Pricing analytics

Commercial analytics

Revenue management

Cross-functional collaboration

Data-driven decision making

Education

Bachelor's degree in Finance/Business/Economics

Tools

Tableau

Power BI

SQL

Excel

ERP/CRM systems

Job description

The Senior Pricing Analyst is responsible for developing and analyzing pricing strategies that support revenue growth, profitability, and overall business performance. This role partners closely with Sales, Marketing, Finance, Product Management, and Operations to evaluate pricing trends, customer behavior, competitive dynamics, and market opportunities that inform strategic pricing decisions.

The ideal candidate combines strong analytical skills with commercial acumen and experience leveraging data, financial analysis, and business intelligence tools to deliver actionable pricing insights, improve decision-making, and drive measurable business results.

Candidates will have the opportunity to work in a hybrid work environment

Responsibilities

• Develop and execute pricing strategies that drive revenue growth, profitability, and market competitiveness across the organization's products and sales channels.
• Analyze pricing performance, customer purchasing behavior, product mix, discounting, promotions, and margin trends to identify opportunities for optimization.
• Conduct competitive pricing and market analysis, monitoring industry trends and competitor activity to support strategic pricing decisions.
• Partner with Sales, Marketing, Product Management, Finance, and Operations to evaluate pricing initiatives, customer agreements, product launches, and commercial opportunities.
• Build financial models and perform scenario analysis to assess pricing strategies, price elasticity, customer segmentation, and revenue optimization.
• Develop executive dashboards, KPI reporting, and pricing analytics that provide actionable insights and improve business decision-making.
• Leverage business intelligence tools, automation, and advanced analytics to enhance reporting capabilities and improve pricing processes.
• Present recommendations and analytical findings to leadership, translating complex data into clear business insights.
• Identify opportunities to improve pricing methodologies, reporting, and analytics through technology, automation, and AI-enabled solutions.

Qualifications

• Bachelor's degree in Finance, Business, Data Analytics, Economics, or a related field; MBA or other advanced degree preferred.
• 5+ years of experience in Pricing Analytics, Commercial Analytics, Revenue Management, FP&A, Business Intelligence, or a related analytical role.
• Proven experience developing pricing strategies and conducting financial and commercial analyses that improve revenue, profitability, and market performance.
• Strong analytical and financial modeling skills with experience analyzing large data sets, customer behavior, pricing trends, and business performance.
• Experience partnering with cross-functional teams, including Sales, Marketing, Product Management, Finance, and Operations.
• Advanced proficiency with Microsoft Excel and experience using business intelligence and reporting tools such as Tableau, Power BI, SQL, or similar platforms.
• Experience working with ERP systems, CRM platforms, and cloud-based data environments is preferred.
• Familiarity with pricing optimization tools, competitive intelligence platforms, and AI-enabled analytics solutions is a plus.
• Excellent communication and presentation skills with the ability to influence decision-making through data-driven recommendations.
• Self-motivated, detail-oriented, and comfortable working in a fast-paced, collaborative environment with a continuous improvement mindset.