Revenue and Pricing Analyst

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC.; Quezon City; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC. is searching for a Revenue Analytics Specialist to design pricing models, analyze revenue performance, and deliver data-driven insights.

You will work with marketing, sales, pricing, and distribution teams to optimize profitability and support strategic business decisions. Responsibilities include maintaining dashboards in Power BI and Tableau, standardizing data, and identifying opportunities to streamline processes through automation.

Qualifications

• Bachelor’s degree required in a relevant field.
• Minimum 2–3 years of experience in revenue management, pricing analytics, or business intelligence.
• Intermediate to advanced MS Excel proficiency.
• Experience with analytics tools (Power BI, Tableau).
• Proven ability to synthesize large datasets into actionable insights.
• Strong financial acumen and business understanding.
• Excellent communication skills to present insights to stakeholders.
• Ability to manage multiple projects and work independently.

Responsibilities

• Design and maintain pricing models that align with business objectives.
• Evaluate revenue performance and identify opportunities to improve profitability.
• Analyze customer demand trends to support pricing and inventory decisions.
• Collect and interpret data from various sources to support informed decision-making.
• Examine data to uncover trends, patterns, and potential issues.
• Deliver insights that help shape marketing campaigns and product strategies.
• Create and maintain dashboards and reports to monitor revenue metrics.
• Streamline processes by implementing automation and improving workflow efficiency.
• Contribute to special projects through data-driven analysis and strategic recommendations.
• Identify opportunities to increase revenue while optimizing costs.
• Maintain data quality by ensuring accuracy across systems.
• Collaborate with marketing, sales, pricing, and distribution teams to support aligned business goals.

Skills

MS Excel proficiency

Financial acumen

Stakeholder communication

Project management

Strategic thinking

Education

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

Tools

Power BI

Tableau

Job description

Key Responsibilities:

• Design and maintain pricing models that align with business objectives.

• Evaluate revenue performance and identify opportunities to improve profitability.

• Analyze customer demand trends to support effective pricing and inventory decisions.

• Collect and interpret data from various sources to support informed decision-making.

• Examine data to uncover trends, patterns, and potential issues.

• Deliver insights that help shape marketing campaigns and product strategies.

• Create and maintain dashboards and reports to monitor key revenue metrics.

• Streamline processes by implementing automation and improving workflow efficiency.

• Contribute to special projects through data-driven analysis and strategic recommendations.

• Identify opportunities to increase revenue while optimizing costs.

• Maintain data quality by ensuring accuracy and consistency across systems.

• Collaborate with marketing, sales, pricing, and distribution teams to support aligned business goals.

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.

• Intermediate to advance proficiency with MS Excel

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

• Proven ability to synthesize large datasets into actionable insights.

• Strong financial acumen and business understanding.

• Excellent communication skills to present insights to stakeholders.

• Ability to manage multiple projects and work independently.

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

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