Revenue and Pricing Management

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC.; Philippines; On-site; PHP 420,000 - 640,000; Full time

Job summary

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC. is seeking a Revenue Management Analyst to leverage analytics, pricing strategy, and BI to optimize revenue across marketing, sales, and product teams.

The role emphasizes data modeling, large data handling, and cross-functional collaboration to forecast revenue, create dashboards, and drive profitability with actionable insights.

Qualifications

• Bachelor’s degree in Business, Economics, Statistics, Data Analytics, or related field.
• Minimum 2-3 years of experience in revenue management, pricing analytics, or business intelligence.
• Strong proficiency in statistical analysis and modeling.
• Experience with analytics tools (Power BI, Tableau).
• Advanced Excel skills; familiarity with SQL is a plus.
• Proven ability to synthesize large datasets into actionable insights.
• B2B experience preferred.

Responsibilities

• Revenue Analysis & Forecasting: Apply disciplined analytics to predict consumer behavior and optimize product availability and pricing.
• Data Intelligence & Insights: Collate, analyze, and interpret data from multiple sources into actionable business intelligence.
• Cross-Functional Collaboration: Partner with marketing, sales, pricing, and distribution teams to align strategies.
• Reporting & Monitoring: Create dashboards and reports to monitor revenue performance and KPIs.
• Ad Hoc Projects: Support special projects requiring deep analytical insights and strategic recommendations.

Skills

Advanced Excel

SQL knowledge

Power BI

Tableau

Data modeling

Revenue analytics

Pricing analytics

Big data handling

Analytical thinking

Communication skills

Cross-functional collaboration

Education

Bachelor’s degree in Business, Economics, Statistics, Data Analytics

Tools

Power BI

Tableau

SQL

Job description

The Revenue Management Analyst leverages analytics and business intelligence to uncover trends, predict behavior, and provide actionable insights that drive revenue growth. This role combines expertise in pricing strategy, market analysis, and data modeling to support decision-making across marketing, sales, and product teams. The ideal candidate is highly analytical, detail-oriented, and comfortable working with large datasets to optimize revenue performance.

Key Responsibilities:

• Revenue Analysis & Forecasting

  • Apply disciplined analytics to predict consumer behavior and optimize product availability and pricing.

  • Develop and maintain pricing models to support changing business needs.

  • Forecast revenue trends and provide insights to improve profitability.

• Data Intelligence & Insights

  • Collate, analyze, and interpret data from multiple sources into actionable business intelligence.

  • Identify patterns and anomalies to inform strategic decisions.

  • Provide recommendations to optimize revenue and cost structures.

• Cross-Functional Collaboration

  • Partner with marketing, sales, pricing, and distribution teams to align strategies.

  • Support the strategy team with insights for campaign planning and product positioning.

• Reporting & Monitoring

  • Create dashboards and reports to monitor revenue performance and KPIs.

  • Validate data integrity and ensure accuracy across systems.

  • Drive process improvements through automation and workflow optimization.

• Ad Hoc Projects

  • Support special projects requiring deep analytical insights and strategic recommendations.

Job Qualifications:

• Bachelor’s degree in Business, Economics, Statistics, Data Analytics, or related field.

• Minimum 2-3 years of experience in revenue management, pricing analytics, or business intelligence.

• Strong proficiency in statistical analysis and modeling.

• Experience with analytics tools (Power BI, Tableau).

• Advanced Excel skills; familiarity with SQL is a plus.

• Proven ability to synthesize large datasets into actionable insights.

• B2B experience preferred.

• Strong financial acumen and business understanding.

• Excellent communication skills to present insights to stakeholders.

• Ability to manage multiple projects and work independently.

Key Competencies

• Strategic thinker with strong analytical and problem-solving skills.

• Detail-oriented with a focus on data accuracy.

• Ability to influence decisions through data-driven insights.

• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.