Revenue Optimization & Pricing Analyst

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC.

Philippines

On-site

PHP 500,000 - 700,000

Full time

3 days ago
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Job summary

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC. is seeking a Revenue Management Analyst I to leverage analytics and business intelligence to uncover trends, predict behavior, and provide actionable insights that drive revenue growth.

This role blends pricing strategy, market analysis, and data modeling to support decision-making across marketing, sales, and product teams. The ideal candidate is highly analytical and comfortable working with large datasets to optimize revenue performance.

Qualifications

  • Bachelor’s degree in Business, Economics, Statistics, Data Analytics, or related field.
  • 2-3 years of revenue management, pricing analytics, or business intelligence experience.
  • Ability to synthesize large datasets into actionable insights.
  • B2B experience preferred.

Responsibilities

  • Apply analytics to predict consumer behavior and optimize pricing and product availability.
  • Develop and maintain pricing models to meet changing business needs.
  • Forecast revenue trends and provide insights to improve profitability.
  • Collate, analyze, and interpret data from multiple sources into actionable BI.
  • Identify patterns and anomalies to inform strategic decisions.
  • Provide recommendations to optimize revenue and cost structures.
  • Partner with marketing, sales, pricing, and distribution teams to align strategies.
  • Create dashboards and reports to monitor revenue performance and KPIs.
  • Validate data integrity across systems and drive automation.

Skills

Statistical analysis
Business intelligence
Power BI
Tableau
Advanced Excel
SQL (basics)

Education

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

Tools

Power BI
Tableau
SQL

Job description

REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC. is seeking a Revenue Management Analyst I to leverage analytics and business intelligence to uncover trends, predict behavior, and provide actionable insights that drive revenue growth.

This role blends pricing strategy, market analysis, and data modeling to support decision-making across marketing, sales, and product teams. The ideal candidate is highly analytical and comfortable working with large datasets to optimize revenue performance.

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