R&D Product Strategy Analyst
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Job Description
R&D Product Strategy Analyst at Mesa evaluating potential software-based product offerings. Focused on market research, feasibility, and strategic recommendations with an analytical approach.
Responsibilities:
- Review existing deliverables (Power BI dashboards, workflows, templates, project controls tools)
- Identify repeatable patterns and opportunities for standardization or productization
- Document current-state vs potential future-state solutions
- Identify industries and clients utilizing similar tools (utilities, engineering consulting, etc.)
- Analyze competitors offering SaaS/SaaP or workflow-based solutions
- Evaluate market demand and potential adoption barriers
- Work with internal SMEs (data/dev/BI resources) to validate technical feasibility
- Evaluate whether solutions should remain within MS365 ecosystem or move toward standalone platform
- Develop high-level cost, effort, and scalability estimates
- Produce structured reports, dashboards, and presentations summarizing findings
- Present recommendations to leadership on product viability
- Support development of go/no-go decision materials
Requirements:
- 2-5 years of experience in product development, consulting, business analysis, or strategy roles
- Curiosity and a genuine interest in understanding how systems and ideas work
- Investigative mindset with a natural inclination to question assumptions and explore alternatives
- Experience working in startups, small teams, or early-stage product environments
- Exposure to prototyping, proof of concept development, or R&D style work
- Familiarity with Agile or iterative development approaches
- Past working experience with Project Management principles, such as PMBOK. PMP certification desirable but not required.
Benefits:
- Completion of defined R&D deliverables across all phases (marketability, feasibility, cost)
- Accuracy and quality of research outputs
- Ability to translate ambiguous requirements into structured insights
- Supporting leadership decision-making with data-driven recommendations
- Recommend product concepts and strategic direction
- Propose improvements to research scope and structure
- Engage internal SMEs to gather required inputs
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