Vista previa de la oferta
Revenue Mgmt Analyst III
senior · Data Science & Analytics
Job Summary
Applies disciplined analytics to predict consumer behavior and optimize product availability and price to maximize revenue growth. Provides input to help to optimize revenue and cost by setting prices, product placement and availability with customers. Coordinates with other areas, including marketing, sales, pricing and distribution channel management. Developing professional role with working knowledge in own discipline, and broadens capabilities Fully proficient in theories & processes. Typically follows prescribed guidelines or procedures to resolve problems Works with a moderate level of guidance. Can train or mentor new colleagues.
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.
Qualifications:
Technical Skills
Strong proficiency in statistical analysis and modeling.
Experience with analytics tools (Power BI, Tableau).
Advanced Excel skills; familiarity with SQL is a plus.
Soft Skills
Strong financial acumen and business understanding.
Excellent communication skills to present insights to stakeholders.
Ability to manage multiple projects and work independently.
Experience
Bachelor’s degree in Business, Economics, Statistics, Data Analytics, or related field.
Minimum 1-2 years of experience in revenue management, pricing analytics, or business intelligence.
Proven ability to synthesize large datasets into actionable insights.
B2B experience preferred.
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.
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