Senior Pricing Strategist - 31954048071

Work from any corner of LATAM and be a part of the #remoteworkrevolution

Role: Senior Pricing Strategist

Schedule: M-F / 9:00 – 5:00 EST

Type of Contract: Full-Time - Independent Contractor

Salary Range: 1,500 a 1,800 USD / Month

Note: Only CVs in English will be taken into account.

About our client

Our client is an AI-driven dynamic pricing software company revolutionizing e-commerce by leveraging data and technology to help brands deliver optimal pricing to their customers. Founded and backed by successful entrepreneurs with multiple exits, they are poised to redefine the future of pricing strategies in e-commerce.

Their dynamic pricing platform enables Amazon brands to predict the perfect price for every product at any moment. By analyzing billions of behavioral data points in real time, our AI integrates machine learning, statistical science, and behavioral economics to pinpoint the optimal price, maximizing customer satisfaction and profitability.

About the Role

We are seeking a Customer Insights Analyst to join our team. In this role, you will analyze data to uncover actionable insights that drive customer success, with a focus on identifying patterns and making data-driven recommendations. While this position does not involve heavy customer interaction, you will play a critical role in collaborating with internal teams and occasionally presenting findings to clients.

This is an opportunity for a data-driven professional with a passion for uncovering trends and delivering impactful recommendations to help optimize our clients’ use of the platform.

Responsibilities

• Data Analysis: Examine customer performance data to identify trends, anomalies, and actionable insights for optimizing pricing strategies.
• Strategic Recommendations: Provide data-backed recommendations to adjust pricing settings or optimize between profit and revenue goals.
• Insight Translation: Work with Customer Success and Data Science teams to translate analytical findings into practical business strategies.
• Performance Monitoring: Regularly review customer metrics, reporting on successes and opportunities for improvement.
• Data Presentation: Communicate complex findings effectively to both technical and non-technical stakeholders.
• Quality Assurance: Ensure the accuracy and consistency of data analysis and insights.
• Process Optimization: Identify opportunities to improve analysis workflows and develop standard playbooks.
• Collaboration: Partner with cross-functional teams, including Data Science, Technology, and Customer Success, to ensure seamless delivery of insights.

Qualifications

• Experience: 2–3 years of experience in data analysis or a related field.
• Educational Background: A degree in Mathematics, Statistics, Engineering, Data Science, or a related discipline.
• Analytical Skills: Demonstrated ability to identify patterns and insights within complex datasets.
• Technical Proficiency: Familiarity with tools like Excel, PowerPoint, and data visualization platforms.

Bonus Qualifications

• Experience with programming languages such as Python or R for data analysis.
• Knowledge of P&L statements and financial modeling.
• Familiarity with e-commerce platforms or SaaS business models.
• Experience using CRM tools like HubSpot.