Pricing Data Scientist

Description

Company Overview:

Cellebrite’s (NASDAQ: CLBT) mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. We are a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations in mastering the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies worldwide, Cellebrite’s Digital Intelligence platform and solutions transform how customers collect, review, analyze and manage data in legally sanctioned investigations. 

Position Overview:



As a Pricing Data Scientist at Cellebrite, you will play a critical role in shaping pricing strategies using high level data driven analysis. You’ll dig deep in the data to analyze buying patterns, sales performance, develop growth program opportunities and gain other valuable insights into the business to drive informed decision making. Your creativity and ability to draw actionable insights from the data will help propel Cellebrite our next level of growth.

Responsibilities:

 Data Analysis & Insights

• Collect and analyze data – internal transaction & buying patterns, customers, competitors
• Create initial pricing benchmarks to help establish new models or help to optimize existing models.
• Conduct analysis to support pricing initiatives and proposals
• Use financial modeling to simulate the impact and effectiveness of pricing changes and provide data-driven recommendations to senior leadership.
• Identify areas of revenue leakage and build programs to facilitate “revenue capture” working cross-functionally with Sales and Finance
• Build list to street waterfalls

Performance Monitoring

• Track and report key pricing metrics, including average revenue per client, client acquisition costs, client lifetime value, and profitability.
• Establish KPIs to measure the effectiveness of pricing and packaging strategies, and make data-driven recommendations for adjustments as needed
• Identify areas in the Sales force that might benefit from enhanced training or coaching based on transaction analysis
• Design and implement revenue optimization programs using data-driven approaches. This includes
• Identifying key revenue drivers,
• Developing predictive models to forecast revenue impacts
• Creating strategies to enhance revenue growth.
• Collaborate with finance and sales teams to ensure alignment and effective execution of these programs
• Create data-driven governance structures to streamline deal processes while optimizing revenue.

Qualifications:

• 5+ years of business analytical experience, with competency in pricing, financial and/or economic models
• Bachelor’s degree in business, finance, economics, or a related field; MBA, advanced degree or equivalent work experience.
• A curious and creative mind.
• Proficiency in pricing tools, ERP systems, and financial modeling software highly desired.
• Excellent analytical skills, strong attention to detail, the ability to interpret complex data sets, and the ability to provide actionable insights.
• Experience in the Digital Forensics, security, or public sector space a plus
• Strong financial acumen with understanding of SaaS revenue models, subscription pricing, software licensing, and enterprise software sales cycles.
• Strong stakeholder collaboration, influencing, and communication skills, with experience working across multiple departments.