Beskrivning
About the Role: We are seeking a highly skilled and experienced Senior Manager, Pricing Analytics & Data Science to lead our efforts in driving data-driven pricing strategies and answering critical business questions that shape our company's future. This role demands a blend of deep analytical expertise, data science capabilities, exceptional project management skills, and a strong understanding of pricing and packaging within a dynamic SaaS environment. The ideal candidate will be a strategic thinker, skilled problem-solver, and collaborative leader, capable of managing complex analytical projects that directly impact revenue growth and customer success.
Responsibilities:
Please note that this is an individual contributor role.
1. Strategic Pricing Analytics & Data Science:
- Apply expert-level data analysis, statistical modeling, and machine learning techniques to identify pricing opportunities and optimize revenue
- Develop and maintain sophisticated pricing models, predictive algorithms, and causal inference models
- Apply advanced statistical techniques to answer complex business questions (for example: effectiveness of new revenue models, impact of consumption flywheel on future purchases, etc.)
- Utilize data storytelling to communicate complex analytical findings and recommendations to senior leadership
- Build consumption prediction models and customer behavior analytics to drive pricing strategy
2. Data Visualization and Reporting:
- Design and develop industry-standard dashboards using Tableau, ensuring data accuracy and clarity
- Create compelling data visualizations that effectively communicate key insights from complex statistical analyses
- Build automated reporting systems for pricing KPIs and business impact metrics
- Develop executive-level reporting on pricing model performance and strategic initiatives
3. Project and Portfolio Management:
- Lead complex pricing analytics and data science projects, from hypothesis formation and planning to execution, risk assessment, and resolution
- Develop and manage a portfolio of pricing initiatives, aligning with long-term strategic goals
- Break down complex analytical projects into manageable phases, ensuring timely and efficient execution
- Collaborate with pricing strategy, product, finance, and sales teams to implement data-driven pricing recommendations
4. Data Engineering Collaboration & Technical Leadership:
- Collaborate with data engineering teams to ensure data integrity and availability for advanced analytics
- Provide guidance and expertise on data warehousing, ETL processes, and data orchestration
- Lead technical discussions on analytical approaches and methodology with cross-functional teams
5. Stakeholder Management and Strategic Communication:
- Build and maintain strong relationships with cross-functional teams, including product management, GTM, sales, finance, business technology, deal desk, and other analytics teams
- Present statistical findings and model results to executive leadership in clear, compelling narratives
- Drive consensus on pricing strategy through data-driven recommendations and impact quantification
Qualifications:
Required:
- Expert-level proficiency in SQL for complex data manipulation and analysis
- Expert-level proficiency in Tableau Desktop and Cloud for advanced data visualization
- Strong statistical analysis and modeling skills
- Experience with predictive modeling and machine learning techniques
- Advanced business analysis skills with ability to translate business questions into analytical frameworks
- Advanced project management skills for complex analytical initiatives
- Experience with pricing and packaging within a SaaS environment
- Experience with data engineering concepts (data warehousing, ETL, orchestration)
- Experience with stakeholder and partner collaboration
- Experience with complexity resolution and portfolio management
- Experience with handling ambiguity and constant change
- Strong problem-solving skills with ability to design analytical approaches for ambiguous business questions
Preferred:
- Advanced proficiency in Python or R for statistical modeling and machine learning
- Experience with consumption-based pricing models and usage analytics
- Advanced degree (Master's/PhD) in Statistics, Economics, Data Science, or related quantitative field
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