Senior Pricing Strategist - (HR31008DA)

Job Title: Senior Pricing Strategist
Location: Remote (EST Time zone)
Salary Range: up to 2500 USD

Work Schedule: Monday - Friday, 9:00 AM to 5:00 PM (EST)

NOTE: INDEPENDENT CONTRACTOR POSITION

Company Overview:

Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. Discover a world of career possibilities with Sagan.

About the Company:

An AI-driven dynamic pricing software company disrupting e-commerce by using data and technology to optimize pricing for Amazon brands. Founded by a team of successful entrepreneurs with several prior exits, the platform leverages machine learning, statistical science, and behavioral economics to help brands predict the perfect price for every product in real time.

Position Overview:

As a Senior Pricing Strategist, you will analyze customer data to uncover actionable insights that enhance customer success. Your work will involve identifying trends, making data-driven recommendations, and collaborating with internal teams to optimize services. While this role is not heavily customer-facing, it requires exceptional communication skills to effectively present insights and recommendations.

Key Responsibilities:

• Data Analysis: Analyze customer performance data to identify trends, anomalies, and actionable insights for optimizing pricing strategies.
• Strategic Recommendations: Provide data-backed recommendations for pricing adjustments and shifts between profit and revenue optimization based on customer performance metrics.
• Performance Monitoring: Review and report on customer performance, highlighting successes and areas needing improvement.
• Insight Communication: Translate complex data findings into clear, actionable insights for technical and non-technical audiences.
• Process Improvement: Develop and refine workflows to enhance data analysis efficiency, including creating playbooks for consistent execution.
• Collaboration: Work closely with Data Science, Technology, and Customer Success teams to ensure delivery of impactful insights and solutions.

Qualifications:

You:

• Have a strong academic background in Mathematics, Statistics, Engineering, Data Science, or a related field.
• Possess exceptional analytical skills, with a proven ability to identify patterns and derive actionable insights.
• Demonstrate meticulous attention to detail and data accuracy.
• Are proficient in tools such as Excel, PowerPoint, and data visualization platforms.
• Have strong written and verbal communication skills to effectively present findings and recommendations.
• Excel in cross-functional collaboration to ensure insights are actionable and impactful.

Bonus if you:

• Have experience with programming languages like Python or R for data analysis.
• Understand P&L statements and financial modeling.
• Are familiar with eCommerce platforms or SaaS business models.
• Have experience using tools like PipeDrive or other CRM systems

Please note: To ensure prompt processing of your application, we kindly request that you submit your resume and an introductory video in English format.