Retail Pricing Lead & Power BI Analytics

Unioil Petroleum Philippines, Inc.; Pasig; Presencial; PHP 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and benefits

Career development and promotion

Collaborative work environment

Descripción de la vacante

Unioil Petroleum Philippines, Inc. is seeking a Retail Pricing Officer to drive pricing accuracy, competitiveness, and profitability across the network. You will support the Pricing Manager with data analysis, price uploads, reimbursements, and data governance while mentoring junior analysts.

The role combines data analytics, market intelligence, and commercial operations, requiring strong Excel, Power BI, and pricing systems skills, with exposure to the oil and gas pricing landscape.

Formación

• Bachelor’s degree with quantitative emphasis or related field.

Responsabilidades

• Gather, validate, and consolidate competitor and market pricing data for assigned stations/zones.
• Prepare pricing analyses and recommendations to support margin targets.
• Assist Pricing Manager in evaluating pricing scenarios and their impact on competitiveness and profitability.
• Monitor performance of pricing decisions and flag deviations.
• Build and run pricing simulations to support profitability studies.
• Prepare standard and ad-hoc profitability and volume reports on schedule.
• Mentor junior analysts on pricing tools and methodology.

Conocimientos

MS Excel

Pricing tools

Power BI

Python

SQL

Analytical thinking

Attention to detail

Deadline-driven

Educación

Bachelor's degree in Business Administration / Economics / Finance

Herramientas

Pricing systems

POS systems

Power BI

SAP (advantage)

Descripción del empleo

Unioil Petroleum Philippines, Inc. is seeking a Retail Pricing Officer to drive pricing accuracy, competitiveness, and profitability across the network. You will support the Pricing Manager with data analysis, price uploads, reimbursements, and data governance while mentoring junior analysts.

The role combines data analytics, market intelligence, and commercial operations, requiring strong Excel, Power BI, and pricing systems skills, with exposure to the oil and gas pricing landscape.