Senior Pricing & Revenue Growth Analyst

Digital Room (Philippines) Inc.; Metro Manila; On-site; PHP 600,000 - 900,000; Full time

Benefits offered by this job

HMO Coverage

Dental Coverage

Group Life Insurance

Paid Leaves and Leave Cash Conversion

Medicine Reimbursement

Job summary

Digital Room (Philippines) Inc. is seeking a Senior Analyst (Marketing-Pricing) to lead advanced pricing analytics in our fast-growing eCommerce environment.

You will build financial models, forecast revenue impact, and collaborate with cross-functional teams to optimize pricing strategy and profitability. The role focuses on data-driven decision making, working with large datasets, and translating complex analyses into actionable pricing recommendations for product, marketing, and sales teams.

Qualifications

• Bachelor's degree in quantitative or analytical field required; Master's preferred.
• 5+ years experience in an analytical role with pricing/packaging focus preferred.
• E-commerce experience a plus.

Responsibilities

• Analyze, recommend, implement and promote product pricing considering brand strategy and competitive environment.
• Create financial models to forecast impact of price changes on revenue and gross margin.
• Monitor trends in large data sets and gather competitive pricing data.
• Analyze impact of pricing changes, discounts and promotions and provide actionable insights.
• Communicate pricing project objectives and results to stakeholders.

Skills

Analytical thinking

Attention to detail

English communication

Cross-functional collaboration

Education

Bachelor's degree in quantitative or analytical field

Master's degree preferred

Tools

Excel

SQL

Tableau

VBA

Power BI

Job description

Digital Room (Philippines) Inc. is seeking a Senior Analyst (Marketing-Pricing) to lead advanced pricing analytics in our fast-growing eCommerce environment.

You will build financial models, forecast revenue impact, and collaborate with cross-functional teams to optimize pricing strategy and profitability. The role focuses on data-driven decision making, working with large datasets, and translating complex analyses into actionable pricing recommendations for product, marketing, and sales teams.