AI Product Pricing Analyst

DDN; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

A leading company in AI and Data Storage Solutions is seeking a pricing analyst to drive strategic business decisions through market analysis and financial modeling. This remote position offers the flexibility to engage in innovative projects that shape the future of AI and data management. The ideal candidate has strong analytical skills, is experienced with large datasets, and can collaborate effectively across teams.

Benefits

Remote work flexibility

Career advancement opportunities

Competitive compensation package

Qualifications

• 3-5 years experience with large datasets for business insights.
• Strong understanding of statistical principles.
• Experience managing large-scale projects.

Responsibilities

• Collect and analyze data on market trends and competitor pricing.
• Develop financial models to forecast revenue and profitability.
• Collaborate with teams to align pricing with business objectives.

Skills

Analytical skills

Communication

Problem-solving

Job description

Employer Industry: AI and Data Storage Solutions

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Work remotely, providing flexibility in your work environment
- Engage in innovative projects that shape the future of AI and data management
- Collaborate with cross-functional teams to drive strategic business decisions
- Competitive compensation package and performance-based incentives

What to Expect (Job Responsibilities):
- Collect and analyze data on market trends, competitor pricing, production costs, and consumer behavior
- Develop financial models to forecast revenue, profitability, and market share
- Recommend pricing strategies based on comprehensive research and analysis
- Collaborate with sales, marketing, finance, and product teams to align pricing with business objectives
- Prepare detailed reports and present findings to management

What is Required (Qualifications):
- Minimum 3-5 years of experience working with large datasets to deliver business insights
- Strong analytical skills and a deep understanding of statistical and forecasting principles
- Excellent communication skills, both written and oral, with the ability to present complex findings clearly
- Proven experience managing complex, international, large-scale projects under pressure
- Ability to define, track, and refine metrics and extract insights for decision-making

How to Stand Out (Preferred Qualifications):
- Experience in SaaS and consumption pricing models
- Demonstrated ability to influence cross-functional teams effectively
- Strong problem-solving skills with a creative approach to tackling challenges
- Passion for learning and a results-oriented mindset

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