- 経験
- 6–12 yrs
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 1時間前
- 作業モード
- 在任中
- 再開する
- 応募必須
仕事内容
About the Role
The position of Product Analyst focuses on supporting various business-related product operations with a strong emphasis on analytical aspects. This role involves collaborating with finance, marketing, and technical departments to support product strategy, pricing, cost modeling, revenue plans, capacity management, and development of business cases to foster platform expansion.
Key Responsibilities
- Develop and sustain comprehensive models related to cost, pricing, and revenue across different product lines.
- Oversee capacity planning and forecasting to ensure that resource availability aligns with projected revenue growth and anticipated demand.
- Formulate business cases and financial forecasts for new features, services, and strategic initiatives.
- Perform competitive intelligence gathering and conduct market analysis to influence go-to-market strategies.
- Design pricing strategies that incorporate return on investment, profit margins, and break-even analysis.
- Create dashboards and prepare insights focused on product performance, adoption rates, and other critical metrics.
- Collaborate effectively with interdepartmental teams such as sales, marketing, engineering, legal, and finance.
- Compile financial reports and strategic analyses to support leadership decision-making.
Qualifications and Skills
- Expert-level skills in Microsoft Excel and PowerPoint are essential.
- Strong capabilities in financial modeling and analytical reasoning.
- Experience in competitive analysis and comprehensive market research.
- Ability to interpret complex data and present clear, actionable insights and recommendations.
- Highly detail-oriented, possessing excellent problem-solving skills, and able to work independently.
Preferred Experience
- Background involving AI, cloud platforms, and IT infrastructure.
- Experience in product management or financial planning roles.
- Competency in automating recurring tasks accurately using AI-driven agents.
Success Indicators
- Timely and precise financial models and forecasts.
- High quality, actionable market intelligence and competitive analysis.
- Business cases that effectively influence strategic choices.
- Strong collaboration and partnership across multiple functional teams.