Pricing and Revenue Planner
New
This is a remote position open to candidates residing in Canada, Mexico, and the US except SF Bay Metros (CA), NYC Metro (NY), & Washington DC Metro.Full-TimeMiddle
Salary116,280 - 136,800 USD per year
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Job Details
- Experience
- 8+ years (or 6+ with Masters) of combined experience in finance, consulting, supply chain planning, demand planning, business planning, &/or data analytics.
- Required Skills
- SQLMicrosoft Power BISalesforceTableauData analyticsNetSuiteLooker
Requirements
- Degree in a relevant analytical field (e.g. finance, economics, mathematics, computer science, data science).
- 8+ years (or 6+ with Masters) of combined experience in finance, consulting, supply chain planning, demand planning, business planning, &/or data analytics.
- Excellent analytical skills with the ability to identify key drivers of topline and cost variances.
- Strong communication skills with the ability to synthesize information for diverse stakeholders.
- Demonstrated ability to structure problems and focus on detail and accuracy.
- Ability to define best practices for data collection and translate data into insights.
- History of collaboration across technical and non-technical teams.
- Proven strategic business thinker.
- Experience with FP&A, supply chain finance, or financial reporting.
- Industry experience in SaaS-based technology companies.
- Prior experience using NetSuite, Salesforce, and e2open.
- Proficiency with SQL, BI/visualization tools (Looker, Tableau, PowerBI), Excel/Google Sheets, R, or Python.
Responsibilities
- Manage pricing analytics, forecasting average sales prices and discounting levels by product group, geography, and sales segment.
- Generate and own financial cost reporting metrics such as hardware cash flow, projected spend, warranty expense, and excess & obsolescence risk.
- Synthesize data into actionable narratives and present findings to senior leadership.
- Analyze customer and sales trends within product families to drive revenue and margin improvement.
- Use technical expertise to automate data processing and implement tools.
- Provide access to data and KPIs using business intelligence tools.
- Establish deep business understanding to assist Demand Planners and improve forecasting processes.
- Identify trends driving hardware costs to identify improvement areas.
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